Triple
T24063500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Rochelle station |
E596020
|
entity |
| Predicate | servedByFormerService |
P3388
|
FINISHED |
| Object | New York, New Haven and Hartford Railroad commuter trains |
—
|
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: New York, New Haven and Hartford Railroad commuter trains | Statement: [New Rochelle station, servedByFormerService, New York, New Haven and Hartford Railroad commuter trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByFormerService Context triple: [New Rochelle station, servedByFormerService, New York, New Haven and Hartford Railroad commuter trains]
-
A.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
B.
hasFormerService
chosen
Indicates that an entity previously provided a service to another entity but no longer does so.
-
C.
servedByServiceVia
Indicates that something receives service or is fulfilled through a specific service acting as the intermediary or delivery mechanism.
-
D.
laterServedBy
Indicates that one entity is subsequently served or provided service by another entity at a later time.
-
E.
formerServesRegion
Indicates that an entity previously served, represented, or had official responsibility for a given region, but no longer does so.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5825548190b94cb6e708617a7d |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:39 p.m.