Triple
T9054237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zawia |
E216956
|
entity |
| Predicate | roleInLibyanCivilWar |
P86116
|
FINISHED |
| Object | site of significant protests and clashes in 2011 |
—
|
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: site of significant protests and clashes in 2011 | Statement: [Zawia, roleInLibyanCivilWar, site of significant protests and clashes in 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInLibyanCivilWar Context triple: [Zawia, roleInLibyanCivilWar, site of significant protests and clashes in 2011]
-
A.
roleInArabRevolt
Indicates that an entity played a specific role or had a particular involvement in the Arab Revolt.
-
B.
recognizedAsLibyaRepresentativeBy
Indicates that an entity is officially acknowledged or accepted as the legitimate representative of Libya by another specified party.
-
C.
roleInMutiny
Indicates that one entity participated in a mutiny with a specific role or capacity in that rebellious action.
-
D.
conflictSide
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
E.
associatedWithRebelGroup
Indicates that one entity is connected or linked in some capacity to a rebel group, such as through membership, support, collaboration, or affiliation.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:10 p.m.