Triple
T12461786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marq-Tran |
E297813
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Marq-Tran |
E297813
|
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: Marq-Tran | Statement: [Marq-Tran, hasAbbreviation, Marq-Tran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marq-Tran Context triple: [Marq-Tran, hasAbbreviation, Marq-Tran]
-
A.
Marq-Tran
chosen
Marq-Tran is the public bus transit system serving Marquette and the surrounding area in Michigan’s Upper Peninsula.
-
B.
Trigno
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
-
C.
Troinex
Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
-
D.
MIA Mover
The MIA Mover is an automated people mover system that transports passengers between Miami International Airport and the nearby Miami Intermodal Center transportation hub.
-
E.
Transtu
Transtu is the public transport authority in Tunis responsible for operating the city’s metro and other urban transit services.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db465c48190bcfaf22f25ef8947 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1d4f248190a0805e17da42eaf7 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.