Triple
T36296308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wail Mohammed al-Shehri |
E893376
|
entity |
| Predicate | terroristAttackTargeted |
P171124
|
FINISHED |
| Object | World Trade Center |
—
|
NE NERFINISHED |
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: World Trade Center | Statement: [Wail Mohammed al-Shehri, terroristAttackTargeted, World Trade Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terroristAttackTargeted Context triple: [Wail Mohammed al-Shehri, terroristAttackTargeted, World Trade Center]
-
A.
terroristAttackTargetCountry
Indicates that a terrorist attack is directed against or occurs within the specified country as its target.
-
B.
terroristAttackLocation
chosen
Indicates the place where a terrorist attack occurred or was carried out.
-
C.
bombingObjective
Indicates that one entity is the intended target or goal of a bombing action carried out by another entity.
-
D.
bombingPerpetrator
Indicates that an entity is responsible for carrying out or organizing a bombing attack against another entity or target.
-
E.
combatantTargeted
Indicates that one combatant has been specifically selected or aimed at as the target of another’s hostile or combative action.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.