Triple
T29492806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antioch, Tennessee |
E748125
|
entity |
| Predicate | shootingOccurredAt |
P166968
|
FINISHED |
| Object | Waffle House restaurant near Interstate 24 |
—
|
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: Waffle House restaurant near Interstate 24 | Statement: [Antioch, Tennessee, shootingOccurredAt, Waffle House restaurant near Interstate 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shootingOccurredAt Context triple: [Antioch, Tennessee, shootingOccurredAt, Waffle House restaurant near Interstate 24]
-
A.
timeOfShooting
Indicates the specific time at which a shooting event occurs.
-
B.
firstShotsFiredOn
Indicates that the referenced event or entity marks the initial occurrence of shots being fired on a specified date, time, or occasion.
-
C.
firstShotsFiredAt
Indicates the location or time at which the initial gunshots or opening fire in an incident occurred.
-
D.
injuryOccurredAt
Indicates that an injury took place at a specific location or during a particular event or time.
-
E.
dateOfTragedy
Indicates the specific calendar date on which a tragic event occurred.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c0c08688190b0957e2fb726e9f8 |
completed | May 2, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:15 p.m.