Triple
T4536751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makati |
E107424
|
entity |
| Predicate | hasRailTransport |
P19495
|
FINISHED |
| Object | MRT Line 3 |
E56499
|
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 Line 3 | Statement: [Makati, hasRailTransport, MRT Line 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRT Line 3 Context triple: [Makati, hasRailTransport, MRT Line 3]
-
A.
MRT Line 3
chosen
MRT Line 3 is a major elevated rapid transit line in Metro Manila that runs along EDSA, serving as one of the region’s primary commuter rail corridors.
-
B.
MRT Orange Line
The MRT Orange Line is a rapid transit route in Bangkok’s Mass Rapid Transit system designed to connect key eastern and western parts of the city.
-
C.
Metro Line 3
Metro Line 3 is a major Mexico City Metro route that runs north–south across the city, connecting key residential and commercial areas including the Gustavo A. Madero borough.
-
D.
MRT Pink Line
The MRT Pink Line is a mass rapid transit route in Bangkok’s elevated monorail network, serving suburban areas in the city’s northern and eastern corridors.
-
E.
MRT Light Red Line
The MRT Light Red Line is a commuter rail line in Bangkok’s Mass Rapid Transit network serving suburban areas to the north and west of the city.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf5858081909d38cad86d4014f2 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.