Triple
T13974309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apia Park |
E336144
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tuanaimato
Tuanaimato is a locality in the Apia urban area of Samoa that hosts major sports and recreational facilities.
|
E1072661
|
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: Tuanaimato | Statement: [Apia Park, locatedIn, Tuanaimato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuanaimato Context triple: [Apia Park, locatedIn, Tuanaimato]
-
A.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
C.
Matarani
Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
-
D.
Tiamzon
Tiamzon is a Filipino surname notably associated with leftist political figures and activists in the Philippines.
-
E.
Tanakia
Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
- 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: Tuanaimato Triple: [Apia Park, locatedIn, Tuanaimato]
Generated description
Tuanaimato is a locality in the Apia urban area of Samoa that hosts major sports and recreational facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuanaimato Target entity description: Tuanaimato is a locality in the Apia urban area of Samoa that hosts major sports and recreational facilities.
-
A.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
C.
Matarani
Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
-
D.
Tiamzon
Tiamzon is a Filipino surname notably associated with leftist political figures and activists in the Philippines.
-
E.
Tanakia
Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e1eb108190b3c0739b94556172 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5bff3b88190b5fcf3834e419b72 |
completed | May 6, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba9af1e0c81908d4013410e76535a |
completed | May 6, 2026, 8:50 p.m. |
Created at: April 9, 2026, 10:18 p.m.