Triple

T10597253
Position Surface form Disambiguated ID Type / Status
Subject Fort Capuzzo E250146 entity
Predicate nearbySettlement P350 FINISHED
Object Bardia E307455 NE 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: Bardia | Statement: [Fort Capuzzo, nearbySettlement, Bardia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardia
Context triple: [Fort Capuzzo, nearbySettlement, Bardia]
  • A. Bardia chosen
    Bardia is a coastal town in northeastern Libya that was a strategic Italian stronghold and the site of major World War II fighting in North Africa.
  • B. Abu Ghosh
    Abu Ghosh is an Arab-Israeli village west of Jerusalem, known for its historic churches, mixed Jewish-Arab relations, and popular Middle Eastern cuisine.
  • C. Gagra
    Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
  • D. Basti
    Basti is a common German diminutive form of the given name Sebastian.
  • E. Basti
    Basti is a city in the Indian state of Uttar Pradesh, known historically as part of the Purvanchal region and serving as an important local administrative and commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278e5d5481908f4e19c52bd80327 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e955d908190a5b26faf2558d78c completed April 10, 2026, 8:33 p.m.
Created at: April 6, 2026, 12:41 p.m.