Triple
T16829949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlieter Incident |
E409121
|
entity |
| Predicate | noShotsFired |
P125009
|
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: [Vlieter Incident, noShotsFired, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noShotsFired Context triple: [Vlieter Incident, noShotsFired, true]
-
A.
numberOfShotsFired
Indicates the total count of shots that were discharged in the described event or action.
-
B.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
C.
neverCaptured
Indicates that the subject has not at any time been apprehended, seized, or taken into custody by another entity.
-
D.
neverCapturedBy
Indicates that one entity has never been apprehended, seized, or taken into custody by another entity at any point in time.
-
E.
firstShotsFiredBy
Indicates which party or entity initiated a conflict or incident by discharging the first shots.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b316acc881909c686add53d72388 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.