Triple

T31013288
Position Surface form Disambiguated ID Type / Status
Subject al-Bab E790261 entity
Predicate nearbyForce P63056 FINISHED
Object Syrian Democratic Forces NE NERFINISHED

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: Syrian Democratic Forces | Statement: [al-Bab, nearbyForce, Syrian Democratic Forces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyForce
Context triple: [al-Bab, nearbyForce, Syrian Democratic Forces]
  • A. neighbouringForce chosen
    Indicates that one force is adjacent to or directly bordering another force in space or operational area.
  • B. nearbyInfluence
    Indicates that one entity affects or exerts influence on another due to being physically or spatially close to it.
  • C. nearbyTo
    Indicates that one entity is located close in distance or position to another entity.
  • D. nearbyFrontier
    Indicates that one entity is located close to a boundary or frontier region associated with another entity.
  • E. hasNearbySquare
    Indicates that one entity has at least one square-shaped entity located close to it in space.
  • 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_69f224c73ca48190a1e46cb58ad4045b completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: April 29, 2026, 8:57 p.m.