Triple
T1582652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Intifada |
E33999
|
entity |
| Predicate | meaningOfTermIntifada |
P32873
|
FINISHED |
| Object | shaking off in Arabic |
—
|
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: shaking off in Arabic | Statement: [First Intifada, meaningOfTermIntifada, shaking off in Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfTermIntifada Context triple: [First Intifada, meaningOfTermIntifada, shaking off in Arabic]
-
A.
ideologyOfInsurgents
Indicates the guiding beliefs, values, or political doctrine held by insurgent groups that shape their goals and actions.
-
B.
militaryObjectiveOfIsrael
Indicates that something is a target or goal designated as a military objective by Israel.
-
C.
cameUnderIsraeliControl
Indicates that one entity transitioned to being governed, occupied, or administered by Israeli authorities.
-
D.
tookControlOfGazaIn
Indicates that a specified actor assumed governing or military authority over Gaza in a particular year or time period.
-
E.
opposedWar
Indicates that an entity actively resisted, disagreed with, or worked against a particular war or military conflict.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.