Triple
T2677737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT Line 3 |
E56499
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | MRT-3 |
E277583
|
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: MRT-3 | Statement: [MRT Line 3, alsoKnownAs, MRT-3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRT-3 Context triple: [MRT Line 3, alsoKnownAs, MRT-3]
-
A.
Manila Light Rail Transit System
chosen
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.
-
B.
BTS Skytrain
The BTS Skytrain is an elevated rapid transit system that serves as one of Bangkok’s primary urban rail networks, helping alleviate traffic congestion and connect key commercial and residential areas across the city.
-
C.
KL Monorail
KL Monorail is an elevated urban rail line in Kuala Lumpur that provides rapid transit service through the city’s central and commercial districts.
-
D.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
E.
RTA Marine transport system
The RTA Marine transport system is Dubai’s government-operated network of water-based public transit services, including water buses, abras, and water taxis, that connect key locations along the city’s waterways.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b697fc8190a5ec8b75ee2ad238 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa065a6f48190973a3b6c52aa23bf |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.