Triple
T3224266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Capital Region |
E67585
|
entity |
| Predicate | composedOf |
P402
|
FINISHED |
| Object | Navotas |
E189191
|
NE FINISHED |
How this triple was built (2 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: [National Capital Region, composedOf, Navotas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navotas Context triple: [National Capital Region, composedOf, Navotas]
-
A.
Navotas
chosen
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Nawada
Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
-
D.
Vaitogi
Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
-
E.
Nambui
Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1ae8f08190880d0f0e8539cdbc |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2625a22148190927b2a63ae3fc726 |
completed | March 12, 2026, 6:51 a.m. |
Created at: March 8, 2026, 3:08 p.m.