Triple

T13774420
Position Surface form Disambiguated ID Type / Status
Subject Srirangam railway station E330964 entity
Predicate locatedIn P40 FINISHED
Object Srirangam E65900 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: Srirangam | Statement: [Srirangam railway station, locatedIn, Srirangam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srirangam
Context triple: [Srirangam railway station, locatedIn, Srirangam]
  • A. Srirangam chosen
    Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
  • B. Darasuram
    Darasuram is a town in Tamil Nadu, India, renowned for its UNESCO-listed Chola-era Airavatesvara Temple and rich Dravidian architectural heritage.
  • C. Karpagam
    Karpagam is a notable Indian film associated with the acclaimed actress Savithri, recognized for her impactful performance in it.
  • D. Tiruverumbur
    Tiruverumbur is a suburban locality and industrial area near Tiruchirappalli city in the Indian state of Tamil Nadu.
  • E. Kaveripattinam
    Kaveripattinam is an ancient port city of the Chola kingdom in South India, renowned as a key setting in classical Tamil literature.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.