Triple

T4515857
Position Surface form Disambiguated ID Type / Status
Subject French India E102150 entity
Predicate firstFactoryEstablishedAt P57138 FINISHED
Object Surat E62832 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: Surat | Statement: [French India, firstFactoryEstablishedAt, Surat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Surat
Context triple: [French India, firstFactoryEstablishedAt, Surat]
  • A. Surat chosen
    Surat is a historic port city in the Indian state of Gujarat that became an important center of trade and commerce during the Mughal and early colonial periods.
  • B. Ahmedabad
    Ahmedabad is a major city in the western Indian state of Gujarat, known for its rich history, textile industry, and role as an important economic and cultural center.
  • C. Aurangabad
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • D. Solapur
    Solapur is a prominent city in southwestern Maharashtra, India, known for its textile industry, religious sites, and cultural significance to Marathi-speaking people.
  • E. Vadodara
    Vadodara is a major city in western India known for its rich cultural heritage, educational institutions, and industrial development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstFactoryEstablishedAt
Context triple: [French India, firstFactoryEstablishedAt, Surat]
  • A. eraOfEstablishment
    Indicates the time period or historical era during which an entity was founded or established.
  • B. foundedAt
    Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
  • C. firstInscriptionYear
    Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
  • D. isFoundedOn
    Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
  • E. establishedAt
    Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5726983c8190bca116eeee54241c completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f93a6808190bc1290232998184c completed March 20, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69bd521abea48190b3e758a1f98dd55e completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56b3e4c88190a7ade3d0ed0ab606 completed March 20, 2026, 2:16 p.m.
Created at: March 20, 2026, 1:02 p.m.