Triple
T33368165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lod Airport massacre |
E854413
|
entity |
| Predicate | capturedAttackerName |
P172714
|
FINISHED |
| Object | Kozo Okamoto |
—
|
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: Kozo Okamoto | Statement: [Lod Airport massacre, capturedAttackerName, Kozo Okamoto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedAttackerName Context triple: [Lod Airport massacre, capturedAttackerName, Kozo Okamoto]
-
A.
capturedAttacker
chosen
Indicates that an entity has successfully apprehended or taken control of an attacking entity.
-
B.
mainAttacker
Indicates that an entity is the primary or leading aggressor responsible for initiating or carrying out an attack against another entity.
-
C.
belligerentSideAfterCapture
Indicates the party or side that an entity belongs to after it has been captured in a conflict or competitive interaction.
-
D.
monarchOfAttackingSide
Indicates that the subject is the reigning monarch who leads or represents the attacking side in a conflict or confrontation.
-
E.
capturedForce
Indicates that one entity has taken control of another entity or group through force, restraint, or coercive action.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:35 a.m.