Triple
T11680034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megatren |
E277590
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Antipolo station |
E279094
|
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: Antipolo station | Statement: [Megatren, terminus, Antipolo station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antipolo station Context triple: [Megatren, terminus, Antipolo station]
-
A.
Antipolo station
chosen
Antipolo station is an elevated eastern terminal station of Manila’s LRT Line 2 serving the city of Antipolo in Rizal, Philippines.
-
B.
Ortigas station
Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
-
C.
Alabang station
Alabang station is a commuter rail station in Muntinlupa, Metro Manila, serving as a key stop on the Philippine National Railways network.
-
D.
Marikina–Pasig station
Marikina–Pasig station is an elevated rail station in Metro Manila, Philippines, serving commuters in the cities of Marikina and Pasig along the LRT Line 2 corridor.
-
E.
Gil Puyat station
Gil Puyat station is a Manila Light Rail Transit (LRT-1) station in Pasay City serving the busy Gil Puyat Avenue area and nearby commercial and transport hubs.
- 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_69f60a527dc08190a3ce08ddedaa5753 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:40 p.m.