Triple

T12854438
Position Surface form Disambiguated ID Type / Status
Subject Tarn Taran E307411 entity
Predicate roadConnection P385 FINISHED
Object Kapurthala E324835 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: Kapurthala | Statement: [Tarn Taran, roadConnection, Kapurthala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapurthala
Context triple: [Tarn Taran, roadConnection, Kapurthala]
  • A. Kapurthala chosen
    Kapurthala is a historic city in the Indian state of Punjab, noted for its distinctive Indo-French architectural heritage and former princely-state status.
  • B. Hoshiarpur
    Hoshiarpur is a historic city in the Indian state of Punjab, known for its cultural heritage, educational institutions, and agricultural surroundings.
  • C. Ferozepur
    Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
  • D. Bathinda
    Bathinda is a major city in southwestern Punjab, India, known as an important agricultural, industrial, and military center with historical forts and thermal power plants.
  • E. Faridkot
    Faridkot is a historic town and district headquarters in the Malwa region of Punjab, India, known for its cultural heritage and agricultural surroundings.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b96f72881909090691e99bb2425 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 5:37 p.m.