Triple
T3778597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrocars |
E83366
|
entity |
| Predicate | canOperateInMultipleWith |
P50884
|
FINISHED |
| Object | other Metrocars |
—
|
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: other Metrocars | Statement: [Metrocars, canOperateInMultipleWith, other Metrocars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOperateInMultipleWith Context triple: [Metrocars, canOperateInMultipleWith, other Metrocars]
-
A.
canOperateInMultiple
Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
-
B.
canOperateUnder
Indicates that one entity is permitted, able, or qualified to function, perform, or remain active within the conditions, authority, or environment defined by another entity.
-
C.
alsoOperatesIn
Indicates that an entity, in addition to its primary location or domain, conducts operations or activities in another specified place or context.
-
D.
hasMultipleHoldersSimultaneously
Indicates that a given item, role, or resource is concurrently possessed, controlled, or occupied by more than one holder at the same time.
-
E.
supportsMultipleWindows
Indicates that the subject can handle or display more than one window or view simultaneously.
- F. None of above. chosen
Provenance (4 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc0fe3e3c8190bd886c7745c172a0 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 8, 2026, 3:36 p.m.