Triple
T11680054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megatren |
E277590
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | LRT-2 |
E57808
|
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: LRT-2 | Statement: [Megatren, alsoKnownAs, LRT-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LRT-2 Context triple: [Megatren, alsoKnownAs, LRT-2]
-
A.
LRT Line 2
chosen
LRT Line 2 is an elevated rapid transit line in Metro Manila, Philippines, running east–west and serving major areas including Quezon City, Manila, and Pasig.
-
B.
STAR LRT
STAR LRT was the original name of a Kuala Lumpur light rail transit system that later became known as the Ampang Line.
-
C.
LRT Line 1
LRT Line 1 is a major elevated urban rail line in Metro Manila, Philippines, forming part of the city’s light rail transit system and serving as a key north–south transport corridor.
-
D.
Manila Light Rail Transit System
The Manila Light Rail Transit System is an urban rapid transit network in Metro Manila, Philippines, providing high-capacity rail services along key commuter corridors.
-
E.
Metro Cebu
Metro Cebu is the main metropolitan area of Cebu in the Philippines, encompassing Cebu City and its surrounding cities and municipalities as a major economic, cultural, and transportation hub in the Visayas region.
- 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.