Triple

T19273262
Position Surface form Disambiguated ID Type / Status
Subject Trimulgherry E481981 entity
Predicate nearbyLocality P4647 FINISHED
Object Alwal
Alwal is a residential suburb in the northern part of Hyderabad, India, known for its mix of urban development and older cantonment areas.
E1367585 NE FINISHED

How this triple was built (4 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: Alwal | Statement: [Trimulgherry, nearbyLocality, Alwal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alwal
Context triple: [Trimulgherry, nearbyLocality, Alwal]
  • A. Awaqir
    Awaqir is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
  • B. Alawa
    Alawa is a residential suburb in the northern part of Darwin, in Australia's Northern Territory.
  • C. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • D. Beruwala
    Beruwala is a coastal town in southwestern Sri Lanka known for its beaches, fishing harbor, and historic Muslim community.
  • E. Zaarour
    Zaarour is a Lebanese mountain village and ski resort located on the slopes of Mount Sannine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Alwal
Triple: [Trimulgherry, nearbyLocality, Alwal]
Generated description
Alwal is a residential suburb in the northern part of Hyderabad, India, known for its mix of urban development and older cantonment areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alwal
Target entity description: Alwal is a residential suburb in the northern part of Hyderabad, India, known for its mix of urban development and older cantonment areas.
  • A. Awaqir
    Awaqir is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
  • B. Alawa
    Alawa is a residential suburb in the northern part of Darwin, in Australia's Northern Territory.
  • C. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • D. Beruwala
    Beruwala is a coastal town in southwestern Sri Lanka known for its beaches, fishing harbor, and historic Muslim community.
  • E. Zaarour
    Zaarour is a Lebanese mountain village and ski resort located on the slopes of Mount Sannine.
  • F. None of above. chosen

Provenance (5 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e748ba48190bc2a17906f7ad842 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070ef513888190b8c9f8c2de36f234 completed May 15, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a070fe766d081909453b1f8563817e8 completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:29 p.m.