Triple
T31187850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hijacking of Air France Flight 139 |
E795098
|
entity |
| Predicate | hostagesHeldAt |
P75973
|
FINISHED |
| Object | Entebbe Airport terminal |
—
|
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: Entebbe Airport terminal | Statement: [Hijacking of Air France Flight 139, hostagesHeldAt, Entebbe Airport terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostagesHeldAt Context triple: [Hijacking of Air France Flight 139, hostagesHeldAt, Entebbe Airport terminal]
-
A.
hostages
Indicates that one party is forcibly holding another party captive, typically to compel a third party to meet certain demands or conditions.
-
B.
hostageLocation
chosen
Indicates that a person or group is being held as a hostage at a specific location.
-
C.
numberOfHostages
Indicates the quantity of hostages involved in a particular situation, event, or context.
-
D.
heldHostagesFor
Indicates that one party unlawfully detained another party or parties as hostages for a period of time, typically to exert pressure or gain leverage.
-
E.
grantedHostages
Indicates that one party has given or handed over hostages to another party, typically as a guarantee or security in an agreement or conflict.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:08 p.m.