Triple
T7462454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companion Pass |
E176283
|
entity |
| Predicate | requiresSameOriginAndDestination |
P26018
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Companion Pass, requiresSameOriginAndDestination, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresSameOriginAndDestination Context triple: [Companion Pass, requiresSameOriginAndDestination, true]
-
A.
isDestinationFor
Indicates that one entity serves as the endpoint or target location that another entity is intended to reach or be directed toward.
-
B.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
C.
isInSameRegionAs
Indicates that two entities are located within the same defined geographic or administrative region.
-
D.
hasSameBoundariesAs
Indicates that two entities share identical spatial or conceptual boundaries, matching each other exactly in extent and limits.
-
E.
requiresMatchFrom
chosen
Indicates that one entity’s validity or operation depends on finding a corresponding matching entity according to specified criteria.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:39 p.m.