Triple
T29492808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antioch, Tennessee |
E748125
|
entity |
| Predicate | numberOfFatalitiesIn2018Shooting |
P122656
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Antioch, Tennessee, numberOfFatalitiesIn2018Shooting, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFatalitiesIn2018Shooting Context triple: [Antioch, Tennessee, numberOfFatalitiesIn2018Shooting, 4]
-
A.
numberOfFatalitiesIn2018Attack
chosen
Indicates the number of people who were killed in the attack that occurred in 2018.
-
B.
numberOfPeopleShot
Indicates the count of individuals who were shot in a particular event or context.
-
C.
numberOfUSFatalities
Indicates the number of people who died in the United States as a result of the specified event or circumstance.
-
D.
yearOfKillingAlleged
Indicates the specific year in which a killing is alleged to have occurred.
-
E.
numberOfVictimsConfirmed
Indicates the confirmed count of victims associated with an event, incident, or situation.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
Created at: April 28, 2026, 4:15 p.m.