Triple
T31507772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vickers Light Tank series |
E803861
|
entity |
| Predicate | sawServiceInTheatre |
P31139
|
FINISHED |
| Object | North Africa |
—
|
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: North Africa | Statement: [Vickers Light Tank series, sawServiceInTheatre, North Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawServiceInTheatre Context triple: [Vickers Light Tank series, sawServiceInTheatre, North Africa]
-
A.
sawServiceDuring
Indicates that one entity experienced or utilized a service during the time period associated with another entity or event.
-
B.
endedOnTheater
Indicates that a theatrical run or showing of something (such as a film or play) has concluded at a theater.
-
C.
servedInTheatre
chosen
Indicates that an individual performed military or service duties within a specific theater of operations or geographic area during a conflict or campaign.
-
D.
sawServiceIn
Indicates that an entity observed or experienced a particular service within a specified context, location, or timeframe.
-
E.
locatedInTheater
Indicates that something is situated within or inside a theater.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a218dbe481909b519c11a54238c1 |
completed | May 3, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:48 p.m.