Triple

T20322434
Position Surface form Disambiguated ID Type / Status
Subject capture of Kafr Batna E492237 entity
Predicate location P40 FINISHED
Object Kafr Batna 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: Kafr Batna | Statement: [capture of Kafr Batna, location, Kafr Batna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kafr Batna
Context triple: [capture of Kafr Batna, location, Kafr Batna]
  • A. Kafr Batna chosen
    Kafr Batna is a town in the Eastern Ghouta region near Damascus, Syria, known for its involvement and suffering during the Syrian civil war.
  • B. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • C. Aïn Beïda
    Aïn Beïda is a city in northeastern Algeria known as a regional commercial and administrative center with historical roots dating back to the Ottoman period.
  • D. Bordj Okhriss
    Bordj Okhriss is a town and commune located in Bouira Province in northern Algeria.
  • E. Souk El Berka
    Souk El Berka is a historic covered market in the medina of Tunis, traditionally known for its jewelry trade and distinctive architectural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778c4430819083b17da5067b88ef completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:20 a.m.