Triple
T1666429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Manila |
E36022
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Navotas
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
|
E189191
|
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: Navotas | Statement: [Metro Manila, containsCity, Navotas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navotas Context triple: [Metro Manila, containsCity, Navotas]
-
A.
Vaitogi
Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
-
B.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
C.
Numata
Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
-
D.
Naklua
Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
-
E.
Pastoria
Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
- 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: Navotas Triple: [Metro Manila, containsCity, Navotas]
Generated description
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navotas Target entity description: Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
-
A.
Vaitogi
Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
-
B.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
C.
Numata
Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
-
D.
Naklua
Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
-
E.
Pastoria
Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adc57cc8190b270004c363768e3 |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71adb0388190b358e83fa8dfaef5 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad7252c9d88190a6bc782139e97342 |
completed | March 8, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72e9403081909915a0a2649946d0 |
completed | March 8, 2026, 1 p.m. |
Created at: March 4, 2026, 7:29 p.m.