Triple
T36296367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Airlines Flight 11 |
E893378
|
entity |
| Predicate | countryOfHijacking |
P203955
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [American Airlines Flight 11, countryOfHijacking, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfHijacking Context triple: [American Airlines Flight 11, countryOfHijacking, United States]
-
A.
countryOfTheft
Indicates the country in which a theft took place.
-
B.
countryOfMissionOrigin
Indicates the country from which a mission originates or is launched.
-
C.
countryOfMission
Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
-
D.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
E.
countryOfShipSunk
Indicates the country to which a ship that was sunk belonged or was registered.
- F. None of above. chosen
Provenance (5 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_6a02ff7de1d881909c29729f2a771381 |
completed | May 12, 2026, 10:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6c4f0ec8190a391b9b37918dc95 |
completed | June 23, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_6a02fd1c45c48190bf9dbd91acaeee9f |
completed | May 12, 2026, 10:12 a.m. |
| PDg | Predicate description generation | batch_6a02ff7d041c81909854fc5025171e94 |
completed | May 12, 2026, 10:22 a.m. |
Created at: May 3, 2026, 4:09 p.m.