Triple
T33897815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yisrael Beiteinu |
E868962
|
entity |
| Predicate | stanceOnIsraeliPalestinianConflict |
P54133
|
FINISHED |
| Object | hardline |
—
|
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: hardline | Statement: [Yisrael Beiteinu, stanceOnIsraeliPalestinianConflict, hardline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnIsraeliPalestinianConflict Context triple: [Yisrael Beiteinu, stanceOnIsraeliPalestinianConflict, hardline]
-
A.
positionOnArabIsraeliConflict
chosen
Indicates a stance or viewpoint that an entity holds regarding the Arab–Israeli conflict.
-
B.
conflictStance
Indicates a party’s position, attitude, or alignment regarding a particular conflict or dispute.
-
C.
effectOnPalestinians
Indicates the impact or consequences that an action, event, or condition has on Palestinians.
-
D.
stateOnWestBank
Indicates that a state is located on the western bank of a specified river or body of water.
-
E.
hasSecurityConcernForIsrael
Indicates that an entity holds or expresses concerns about the safety, security, or defense situation of Israel.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.