Triple
T13498366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACS-64 |
E320818
|
entity |
| Predicate | enteredServiceWithSEPTA |
P109578
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [ACS-64, enteredServiceWithSEPTA, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredServiceWithSEPTA Context triple: [ACS-64, enteredServiceWithSEPTA, 2018]
-
A.
acquiredBySEPTA
Indicates that an entity has been purchased or taken over by SEPTA (the Southeastern Pennsylvania Transportation Authority).
-
B.
accessByBusFrom
Indicates that one location can be reached from another location using a bus as the mode of transportation.
-
C.
enteredService
Indicates that an entity began active use or operation at a specific time or in a specific context.
-
D.
usedByTransitSystem
chosen
Indicates that something is utilized or operated by a transit or public transportation system.
-
E.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.