Triple
T2776868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gander |
E61590
|
entity |
| Predicate | roleDuring9_11 |
P32491
|
FINISHED |
| Object | hosted diverted transatlantic flights |
—
|
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: hosted diverted transatlantic flights | Statement: [Gander, roleDuring9_11, hosted diverted transatlantic flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleDuring9_11 Context triple: [Gander, roleDuring9_11, hosted diverted transatlantic flights]
-
A.
post9_11Role
chosen
Indicates the role, position, or function an entity assumed or performed after the events of September 11, 2001.
-
B.
roleAtPearlHarbor
Indicates the specific role, position, or function an entity held in relation to the events at Pearl Harbor.
-
C.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
D.
servedInRole
Indicates that one entity performed duties or held a position within a specified role or office in relation to another entity.
-
E.
roleDuringHusbandPresidency
Indicates the role or position a person held specifically during her husband's term as president.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.