Triple

T4611821
Position Surface form Disambiguated ID Type / Status
Subject Beas railway station E100575 entity
Predicate locatedIn P40 FINISHED
Object Beas E18137 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: Beas | Statement: [Beas railway station, locatedIn, Beas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beas
Context triple: [Beas railway station, locatedIn, Beas]
  • A. Beas River chosen
    The Beas River is a major river in northern India that flows through the state of Punjab, playing a vital role in its agriculture and ecology.
  • B. Kulu
    Kulu is a district and town in Turkey’s Central Anatolia region, known for its large expatriate community and strong ties to Europe, especially Sweden.
  • C. Bhavra
    Bhavra is a village in present-day Madhya Pradesh, India, historically notable as the birthplace of Indian revolutionary freedom fighter Chandrasekhar Azad.
  • D. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • E. Diamer
    Diamer is an alternative local name for Nanga Parbat, the towering Himalayan peak in Pakistan known as one of the world’s highest and most challenging mountains to climb.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59bffbf08190b13ef0810e6f9d19 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa836f488190bb320e8cb393a286 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.