Triple
T33074343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Iron Swords |
E846316
|
entity |
| Predicate | legalJustificationClaimedByIsrael |
P198970
|
FINISHED |
| Object | right of self-defense |
—
|
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: right of self-defense | Statement: [Operation Iron Swords, legalJustificationClaimedByIsrael, right of self-defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalJustificationClaimedByIsrael Context triple: [Operation Iron Swords, legalJustificationClaimedByIsrael, right of self-defense]
-
A.
strategicRationaleForIsrael
Indicates that something serves as a strategic justification, motive, or benefit specifically in favor of Israel.
-
B.
landStatusClaimedByIsrael
Indicates that the land in question is claimed by Israel as part of its sovereign territory or jurisdiction.
-
C.
regardsStateOfIsraelAs
Indicates how an entity views, judges, or holds an attitude toward the State of Israel.
-
D.
militaryObjectiveOfIsrael
Indicates that something is a target or goal designated as a military objective by Israel.
-
E.
legalRationaleClaimedByTurkey
Indicates that a particular legal rationale is asserted or invoked by Turkey as the basis for its position or actions.
- F. None of above. chosen
Provenance (4 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
| PDg | Predicate description generation | batch_69ff17bda59c8190b27c524f3e01c6df |
completed | May 9, 2026, 11:17 a.m. |
Created at: May 1, 2026, 1:25 a.m.