Triple
T29720465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shooting of Amadou Diallo |
E752043
|
entity |
| Predicate | numberOfTimesHit |
P42152
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Shooting of Amadou Diallo, numberOfTimesHit, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesHit Context triple: [Shooting of Amadou Diallo, numberOfTimesHit, 19]
-
A.
splashHitCountTrackedBy
Indicates that the number of splash hits is being recorded or monitored by a specified tracking entity or mechanism.
-
B.
numberOfCounts
chosen
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
numberOfExecutions
Indicates the count of times a particular action, process, or event has been carried out.
-
D.
hasNumberOfApparitions
Indicates the count of times a particular entity has appeared or manifested.
-
E.
originalHammerBlowCount
Indicates the initial number of hammer blows applied in a given action or process before any changes or adjustments.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: April 28, 2026, 7:36 p.m.