Triple
T13276455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maesteg railway station |
E316202
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | MST |
E537823
|
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: MST | Statement: [Maesteg railway station, stationCode, MST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MST Context triple: [Maesteg railway station, stationCode, MST]
-
A.
MST
MST is a DisplayPort feature that allows multiple independent video and audio streams to be transmitted over a single physical DisplayPort connection, enabling daisy-chaining and multi-monitor setups.
-
B.
MST
chosen
MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
-
C.
MCST
MCST is the abbreviated name for South Korea’s Ministry of Culture, Sports and Tourism, the government body responsible for cultural policy, sports promotion, and tourism development.
-
D.
MTC
MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
-
E.
MTC
MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.