Triple
T4032997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S |
E83757
|
entity |
| Predicate | isShuttleFor |
P3493
|
FINISHED |
| Object | cross‑town service on 42nd Street |
—
|
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: cross‑town service on 42nd Street | Statement: [S, isShuttleFor, cross‑town service on 42nd Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShuttleFor Context triple: [S, isShuttleFor, cross‑town service on 42nd Street]
-
A.
hasShuttleLine
chosen
Indicates that there is a shuttle service or route operating between the related entities.
-
B.
hasShipRole
Indicates that an entity holds or is assigned a specific role or function on a ship.
-
C.
crewTransportSegment
Indicates a segment of a journey during which crew members are transported from one location to another.
-
D.
spaceShuttleFlight
Indicates a specific mission or journey undertaken by a space shuttle between launch and landing.
-
E.
isOnFreightRoute
Indicates that something lies along or is included within a designated freight transportation route used for moving goods.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.