Triple
T11680090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRT Line 1 |
E277591
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Parañaque |
E189190
|
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: Parañaque | Statement: [LRT Line 1, servesCity, Parañaque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parañaque Context triple: [LRT Line 1, servesCity, Parañaque]
-
A.
Parañaque
chosen
Parañaque is a coastal city in the southern part of Metro Manila in the Philippines, known for its residential communities, commercial centers, and proximity to Ninoy Aquino International Airport.
-
B.
Ñuñoa
Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
-
C.
Lurín
Lurín is a district in the Lima Province of Peru, known for its archaeological sites, beaches, and growing urban and industrial areas south of central Lima.
-
D.
Peñalolén
Peñalolén is a commune in the southeastern sector of Santiago, Chile, known for its residential neighborhoods, educational institutions, and proximity to the Andean foothills.
-
E.
Chanco
Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14007dd08190b60640be9949ca26 |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.