Triple
T10671425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navotas Fish Port Complex area |
E251497
|
entity |
| Predicate | locatedIn |
P40
|
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: [Navotas Fish Port Complex area, locatedIn, Navotas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navotas Context triple: [Navotas Fish Port Complex area, locatedIn, Navotas]
-
A.
Navotas
chosen
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
-
B.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
C.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
D.
Upata
Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
-
E.
Nawada
Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8648a248190a3bd284c569152e4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9886e3f108190bb6f17d4e2f394ef |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:09 p.m.