Triple
T38647573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debunking 9/11 Debunking |
E938759
|
entity |
| Predicate | positionOn9/11 |
P201924
|
FINISHED |
| Object | challenges official explanation of September 11 attacks |
—
|
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: challenges official explanation of September 11 attacks | Statement: [Debunking 9/11 Debunking, positionOn9/11, challenges official explanation of September 11 attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOn9/11 Context triple: [Debunking 9/11 Debunking, positionOn9/11, challenges official explanation of September 11 attacks]
-
A.
effectOfSeptember11Attacks
Indicates a causal relationship where something occurs, changes, or exists as a consequence of the September 11 attacks.
-
B.
post9_11Role
Indicates the role, position, or function an entity assumed or performed after the events of September 11, 2001.
-
C.
positionOnTerrorism
Indicates a stance or viewpoint that an entity holds regarding terrorism, such as its causes, legitimacy, or appropriate responses.
-
D.
positionOnSecurity
Indicates the stance, opinion, or policy an entity holds regarding security-related issues or measures.
-
E.
enteredUnitedStatesBeforeAttacks
Indicates that the subject entered the United States prior to the occurrence of the specified attacks.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0031ed5d708190ab93516ad081ada6 |
completed | May 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_6a0031b5dbd081908eb0f4dbb8a0eac3 |
completed | May 10, 2026, 7:20 a.m. |
| PDg | Predicate description generation | batch_6a0031ec758c81908a3877bc19ce2701 |
completed | May 10, 2026, 7:21 a.m. |
Created at: May 3, 2026, 4:32 p.m.