Triple
T3354496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafah refugee camp |
E70572
|
entity |
| Predicate | partOfConflictZone |
P34508
|
FINISHED |
| Object | Gaza Strip conflict area |
—
|
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: Gaza Strip conflict area | Statement: [Rafah refugee camp, partOfConflictZone, Gaza Strip conflict area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfConflictZone Context triple: [Rafah refugee camp, partOfConflictZone, Gaza Strip conflict area]
-
A.
regionOfConflict
chosen
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
B.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
C.
conflictRegion
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
-
D.
locatedInDisputedTerritory
Indicates that an entity is situated within a geographic area whose sovereignty or ownership is contested between two or more parties.
-
E.
partOfConflictOutcome
Indicates that one entity represents a specific component or aspect of the overall outcome of a conflict involving another entity.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb24036848190bac779d17dfdce3b |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.