Triple

T4185078
Position Surface form Disambiguated ID Type / Status
Subject Ahmedabad Metro E88290 entity
Predicate abbreviation P43 FINISHED
Object GMRC
GMRC is the organization responsible for developing and operating the metro rail system in Ahmedabad, India.
 E418884 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: GMRC | Statement: [Ahmedabad Metro, abbreviation, GMRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMRC
Context triple: [Ahmedabad Metro, abbreviation, GMRC]
  • A. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • B. MRC
    MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
  • C. MRC
    MRC is a major UK organization that funds and supports medical research to improve human health.
  • D. GSA
    GSA is the commonly used abbreviation for the Golden Spikes Award, an annual honor recognizing the top amateur baseball player in the United States.
  • E. GSA
    GSA is a U.S. federal agency that manages government buildings, supplies, and procurement services for other federal agencies.
  • 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: GMRC
Triple: [Ahmedabad Metro, abbreviation, GMRC]
Generated description
GMRC is the organization responsible for developing and operating the metro rail system in Ahmedabad, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMRC
Target entity description: GMRC is the organization responsible for developing and operating the metro rail system in Ahmedabad, India.
  • A. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • B. MRC
    MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
  • C. MRC
    MRC is a major UK organization that funds and supports medical research to improve human health.
  • D. GSA
    GSA is the commonly used abbreviation for the Golden Spikes Award, an annual honor recognizing the top amateur baseball player in the United States.
  • E. GSA
    GSA is a U.S. federal agency that manages government buildings, supplies, and procurement services for other federal agencies.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af032318bc81908345db0753f8ba66 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fe4b508190a1c5a1d426245ede completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58a64e67081909d9c03c8f92b4f7e completed March 14, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69b58aeb4f848190aa8d8511c3b63eaa completed March 14, 2026, 4:20 p.m.
Created at: March 9, 2026, 3:45 p.m.