Triple
T12467852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTAB |
E297972
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | MTA transit operations |
unclear NED1
|
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: MTA transit operations | Statement: [MTAB, usedIn, MTA transit operations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTA transit operations Context triple: [MTAB, usedIn, MTA transit operations]
-
A.
MTA
MTA is the public transportation authority serving the New York City metropolitan area, operating subways, buses, and commuter rail systems.
-
B.
MTA
MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
-
C.
MTA
MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
-
D.
MTA
MTA is the main regulated equities market segment of Borsa Italiana, where shares of medium and large Italian and international companies are listed and traded.
-
E.
MTA
MTA is the Hungarian Academy of Sciences, Hungary’s foremost scholarly institution overseeing and supporting scientific research across disciplines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d94db979c481908778188794b2c08e |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2175c48190bbd28ad8c07434f0 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.