Triple
T33368166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lod Airport massacre |
E854413
|
entity |
| Predicate | attackerName |
P2363
|
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, attackerName, Kozo Okamoto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attackerName Context triple: [Lod Airport massacre, attackerName, Kozo Okamoto]
-
A.
attacker
chosen
Indicates a relationship where one entity initiates a harmful or hostile action against another entity.
-
B.
attackerSide
Indicates which party or faction is responsible for carrying out an attack in a conflict or violent incident.
-
C.
mainAttacker
Indicates that an entity is the primary or leading aggressor responsible for initiating or carrying out an attack against another entity.
-
D.
attackerStrength
Indicates the level or magnitude of power, force, or capability possessed by the attacking entity in a given interaction or scenario.
-
E.
attackName
Indicates the specific name or designation given to an attack action or offensive maneuver.
- 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.