Triple
T38542280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCTS |
E924864
|
entity |
| Predicate | hasDataFeed |
P141050
|
FINISHED |
| Object | GTFS transit data for trip planning |
—
|
LITERAL 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: GTFS transit data for trip planning | Statement: [MCTS, hasDataFeed, GTFS transit data for trip planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataFeed Context triple: [MCTS, hasDataFeed, GTFS transit data for trip planning]
-
A.
hasMarketDataFeed
Indicates that an entity provides, supports, or is associated with a stream of market-related data (such as prices, quotes, or trading information) to another entity or system.
-
B.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
-
C.
hasSourceOfData
chosen
Indicates that one entity serves as the origin or provider of the data used or referenced by another entity.
-
D.
hasFeederServices
Indicates that one service, route, or system provides connecting or supporting services that feed passengers, goods, or data into another primary or main service.
-
E.
hasDataFields
Indicates that an entity possesses or is associated with specific data fields or attributes.
- F. None of above.
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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2eb85e4819088eb5a8fc4d4f668 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.