Triple
T1249969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas School Book Depository |
E26851
|
entity |
| Predicate | allegedShooterLocation |
P25801
|
FINISHED |
| Object | sixth floor |
—
|
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: sixth floor | Statement: [Texas School Book Depository, allegedShooterLocation, sixth floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedShooterLocation Context triple: [Texas School Book Depository, allegedShooterLocation, sixth floor]
-
A.
assassinationAttemptLocation
Indicates the place where an attempted assassination occurred or was intended to occur.
-
B.
bombingLocation
Indicates the place where a bombing event occurs or is carried out.
-
C.
arrestedAt
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
-
D.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
E.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf84c73c8190bbb14265cd7ab6ae |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.