Triple
T22548654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meerut Cantt railway station |
E557497
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | MUT |
—
|
NE NERFINISHED |
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: MUT | Statement: [Meerut Cantt railway station, stationCode, MUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUT Context triple: [Meerut Cantt railway station, stationCode, MUT]
-
A.
MUT
chosen
MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
-
B.
Mul
Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
-
C.
MUH
MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
-
D.
MUF
MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
-
E.
MUR
MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f372df48190ae5dd461b1230bc7 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.