Triple
T29376831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest/Jupiter Station |
E745020
|
entity |
| Predicate | hasTransitAgencyAbbreviation |
P120156
|
FINISHED |
| Object | DART |
—
|
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: DART | Statement: [Forest/Jupiter Station, hasTransitAgencyAbbreviation, DART]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitAgencyAbbreviation Context triple: [Forest/Jupiter Station, hasTransitAgencyAbbreviation, DART]
-
A.
transitAuthorityAbbreviation
chosen
Indicates that one entity is the standard abbreviated form of the name of a particular transit authority.
-
B.
coordinatedAgencyAbbreviation
Indicates that two or more agencies share or use the same abbreviated designation in a coordinated or jointly recognized manner.
-
C.
transitAgencyType
Indicates the classification or category of a transit agency based on the type of transportation services it provides.
-
D.
hasPublicTransportAgency
Indicates that a place or transport system is served, managed, or overseen by a specific public transportation agency.
-
E.
airNavigationServiceProviderAbbreviation
Indicates the abbreviated name or code used to refer to an air navigation service provider.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 28, 2026, 2:32 p.m.