Triple

T18447090
Position Surface form Disambiguated ID Type / Status
Subject Tis Hazari E450682 entity
Predicate nearbyLocality P4647 FINISHED
Object Civil Lines NE NERFINISHED

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: Civil Lines | Statement: [Tis Hazari, nearbyLocality, Civil Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Civil Lines
Context triple: [Tis Hazari, nearbyLocality, Civil Lines]
  • A. Civil Lines chosen
    Civil Lines is a prominent residential and administrative neighborhood in North Delhi, India, known for its colonial-era bungalows and government offices.
  • B. Media Line Road
    Media Line Road is a notable roadway in southeastern Pennsylvania that serves as a boundary and connector between communities in and around Delaware County.
  • C. Valley Lines
    Valley Lines is a suburban rail network serving Cardiff and the surrounding South Wales Valleys.
  • D. City Line
    City Line is a suburban and regional rail route serving Liverpool and surrounding areas as part of the Merseyrail and wider North West rail network.
  • E. City Line
    City Line is a suburban railway route serving various districts within Cardiff, Wales, as part of the local commuter rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52644959c8190b1117608e5fa15aa completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.