Triple
T30656994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidal Ayyad |
E780411
|
entity |
| Predicate | placeOfEventParticipatedIn |
P176473
|
FINISHED |
| Object | World Trade Center, New York City |
—
|
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, New York City | Statement: [Nidal Ayyad, placeOfEventParticipatedIn, World Trade Center, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfEventParticipatedIn Context triple: [Nidal Ayyad, placeOfEventParticipatedIn, World Trade Center, New York City]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
tookPlaceAtEvent
Indicates that an action or occurrence happened during or in the context of a specific event.
-
C.
tookPlaceAtLocation
Indicates that an event or action occurred at a specific location.
-
D.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
E.
hostCityOfEventParticipatedIn
chosen
Indicates that a city is the location where a particular event took place in which an entity participated.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 8:30 p.m.