Triple
T29283244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Gazelle |
E742436
|
entity |
| Predicate | referentEvent |
P177130
|
FINISHED |
| Object | 100 metres |
—
|
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: 100 metres | Statement: [The Black Gazelle, referentEvent, 100 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referentEvent Context triple: [The Black Gazelle, referentEvent, 100 metres]
-
A.
refersToEventType
Indicates that one entity references or is associated with a specific type or category of event.
-
B.
refersToEventHeld
Indicates that one entity makes reference to, or is associated with, a specific event that has taken place.
-
C.
selectedEvent
Indicates that a particular event has been chosen or designated from a set of possible events.
-
D.
subjectOfEvent
chosen
Indicates that an entity participates in or is involved in a particular event as one of its primary actors or focal points.
-
E.
laterRelatedEvent
Indicates that one event is temporally related to another by occurring at a later 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 28, 2026, 12:56 p.m.