Triple

T28535425
Position Surface form Disambiguated ID Type / Status
Subject Washukanni E722149 entity
Predicate hypothesizedLocationNear P61270 FINISHED
Object Tell Fekheriye 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: Tell Fekheriye | Statement: [Washukanni, hypothesizedLocationNear, Tell Fekheriye]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hypothesizedLocationNear
Context triple: [Washukanni, hypothesizedLocationNear, Tell Fekheriye]
  • A. possibleLocation
    Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
  • B. likelyLocatedIn
    Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
  • C. partlyLocatedNear
    Indicates that one entity is situated near another, but only a portion or subset of it lies within that nearby area.
  • D. locatedNearPass
    Indicates that one entity is situated close to a mountain pass or similar passageway.
  • E. nearbyLocation chosen
    Indicates that one location is situated close to another location in physical 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_69f01a5d7ec88190ada2d5be7c06c35d completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64fd960b08190844c66ad659ebbc6 completed May 2, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69f64cb0d8008190912e1430cfaf92aa completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 3:31 a.m.