Triple

T28095342
Position Surface form Disambiguated ID Type / Status
Subject Ambarnath E710071 entity
Predicate templeAlternateName P44027 FINISHED
Object Ambreshwar Temple
Ambreshwar Temple is an ancient, intricately carved Shiva temple located in Ambarnath, Maharashtra, renowned for its Hemadpanthi-style architecture and historical significance.
 E1893392 NE FINISHED

How this triple was built (3 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: Ambreshwar Temple | Statement: [Ambarnath, templeAlternateName, Ambreshwar Temple]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ambreshwar Temple
Triple: [Ambarnath, templeAlternateName, Ambreshwar Temple]
Generated description
Ambreshwar Temple is an ancient, intricately carved Shiva temple located in Ambarnath, Maharashtra, renowned for its Hemadpanthi-style architecture and historical significance.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: templeAlternateName
Context triple: [Ambarnath, templeAlternateName, Ambreshwar Temple]
  • A. templeName chosen
    Indicates that an entity is identified by or associated with the name of a temple.
  • B. templeType
    Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
  • C. templeTitleOf
    Indicates that one entity is the formal religious or ceremonial title held by another entity within a temple or sacred context.
  • D. associatedTemple
    Indicates a relationship where one entity is linked or connected to a particular temple, typically as its relevant or related religious site.
  • E. templeAlsoHonors
    Indicates that a temple, in addition to its primary dedication, honors or venerates another deity, figure, or sacred subject.
  • F. None of above.

Provenance (6 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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f65876c52c8190bc889c7a67bd07f3 completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721c96fa481909ef1d8c941d94b04 completed June 8, 2026, 8:10 p.m.
NEDg Description generation batch_6a27226c29fc81909e79cb508975bc92 completed June 8, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_6a27231dfdac8190870ab5105b8c174d completed June 8, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f6575d89788190aca478e4aea05a65 completed May 2, 2026, 7:58 p.m.
Created at: April 27, 2026, 9:01 p.m.