Triple

T4577298
Position Surface form Disambiguated ID Type / Status
Subject Tranquebar E123168 entity
Predicate alsoKnownAs P39 FINISHED
Object Tharangambadi E454482 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: Tharangambadi | Statement: [Tranquebar, alsoKnownAs, Tharangambadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tharangambadi
Context triple: [Tranquebar, alsoKnownAs, Tharangambadi]
  • A. Tharangambadi chosen
    Tharangambadi is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement, seaside fort, and blend of Indian and European heritage.
  • B. Negapatam
    Negapatam is the former colonial-era name of Nagapattinam, a historic port town on the southeastern coast of India in the state of Tamil Nadu.
  • C. Nagapattinam
    Nagapattinam is a historic port city on the southeastern coast of India that served as an important colonial trading center successively controlled by the Portuguese, Dutch, and British.
  • D. Nanakramguda
    Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
  • E. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa26276481908d6476a94aa3e743 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:10 p.m.