Triple
T1582612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Intifada |
E33999
|
entity |
| Predicate | opposingSide |
P17725
|
FINISHED |
| Object | Palestinian protesters |
—
|
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: Palestinian protesters | Statement: [First Intifada, opposingSide, Palestinian protesters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposingSide Context triple: [First Intifada, opposingSide, Palestinian protesters]
-
A.
opposingParticipants
chosen
Indicates that the related entities are participants positioned in opposition to each other within the same interaction, event, or context.
-
B.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
C.
opposesPartyType
Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
-
D.
opposedConference
Indicates that one entity actively resists, counters, or works against another entity within the context of a conference or formal gathering.
-
E.
opposingLocation
Indicates that two entities are located directly opposite each other, typically across a defined reference such as a street, corridor, or boundary.
- 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_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. |
Created at: March 4, 2026, 7:27 p.m.