Triple

T13591708
Position Surface form Disambiguated ID Type / Status
Subject Ayodhya district E324706 entity
Predicate contains P35 FINISHED
Object Faizabad (city) E64151 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: Faizabad (city) | Statement: [Ayodhya district, contains, Faizabad (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faizabad (city)
Context triple: [Ayodhya district, contains, Faizabad (city)]
  • A. Faizabad chosen
    Faizabad is a historic city in the Indian state of Uttar Pradesh that once served as the capital of the former princely state of Oudh (Awadh).
  • B. Faizabad
    Faizabad is a city in northeastern Afghanistan that served as the main stronghold and administrative center of the anti-Taliban government during the late 1990s.
  • C. Faizabad district
    Faizabad district is an administrative district in the Indian state of Uttar Pradesh, historically centered around the city of Faizabad near the religious town of Ayodhya.
  • D. Faizabad Municipal Corporation
    Faizabad Municipal Corporation is the local urban governing body responsible for municipal administration and civic infrastructure in the city of Faizabad, India.
  • E. Azimabad
    Azimabad is the former Mughal-era name of the Indian city now known as Patna, reflecting its historical significance under imperial rule.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.