Triple
T13208976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Princesa |
E314436
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
City in a Forest
City in a Forest is the nickname of Puerto Princesa, a Philippine city renowned for its lush greenery, rich biodiversity, and strong environmental conservation efforts.
|
E1027446
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: City in a Forest | Statement: [Puerto Princesa, hasNickname, City in a Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City in a Forest Context triple: [Puerto Princesa, hasNickname, City in a Forest]
-
A.
Red Forest
Red Forest is a heavily contaminated woodland near the Chernobyl Nuclear Power Plant, known as one of the most radioactive areas on Earth after the 1986 disaster.
-
B.
City of Trees
City of Trees is the nickname for Boise, Idaho, highlighting the city's abundant urban greenery and tree-lined landscape.
-
C.
City of Trees
City of Trees is the popular nickname for Sendai, a major city in Japan renowned for its abundant greenery and tree-lined streets.
-
D.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
E.
City of Trees
City of Trees is the nickname of Burlingame, California, highlighting its abundant tree-lined streets and lush urban canopy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: City in a Forest Triple: [Puerto Princesa, hasNickname, City in a Forest]
Generated description
City in a Forest is the nickname of Puerto Princesa, a Philippine city renowned for its lush greenery, rich biodiversity, and strong environmental conservation efforts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City in a Forest Target entity description: City in a Forest is the nickname of Puerto Princesa, a Philippine city renowned for its lush greenery, rich biodiversity, and strong environmental conservation efforts.
-
A.
Red Forest
Red Forest is a heavily contaminated woodland near the Chernobyl Nuclear Power Plant, known as one of the most radioactive areas on Earth after the 1986 disaster.
-
B.
City of Trees
City of Trees is the nickname for Boise, Idaho, highlighting the city's abundant urban greenery and tree-lined landscape.
-
C.
City of Trees
City of Trees is the popular nickname for Sendai, a major city in Japan renowned for its abundant greenery and tree-lined streets.
-
D.
City of Trees
City of Trees is the nickname of Burlingame, California, highlighting its abundant tree-lined streets and lush urban canopy.
-
E.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9cb7ac819095cff8699993c419 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f611b11c8190b9f89313eb2b5fab |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f79703588190ba088971da54340f |
completed | May 3, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f89072a88190b3182f581b1b6762 |
completed | May 3, 2026, 7:26 a.m. |
Created at: April 9, 2026, 9:17 p.m.