Triple

T16111900
Position Surface form Disambiguated ID Type / Status
Subject Aligarh district E390898 entity
Predicate containsTown P847 FINISHED
Object Iglas E484335 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: Iglas | Statement: [Aligarh district, containsTown, Iglas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iglas
Context triple: [Aligarh district, containsTown, Iglas]
  • A. Iglas chosen
    Iglas is a town in the Braj cultural region of northern India, known for its agrarian surroundings and local trading activities.
  • B. Iglesiente
    Iglesiente is a historical mining and coastal region in southwestern Sardinia, Italy, known for its rugged landscapes and rich mineral resources.
  • C. Iglesia
    Iglesia is a Madrid Metro station on Line 1 located in the Chamberí district, serving the area around the historic Iglesia de Santa Teresa y Santa Isabel.
  • D. Basilika
    Basilika is a comprehensive 9th-century Byzantine legal code that systematically revised and expanded Justinian’s laws into Greek.
  • E. Direkli Church
    Direkli Church is a rock-cut Byzantine cave church in Turkey’s Ihlara Valley, known for its early Christian frescoes and monastic heritage.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20167ee1481909e56dc632bfc0fc5 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba90ffc81909d5eb8f0cfa9f147 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.