Triple

T18318911
Position Surface form Disambiguated ID Type / Status
Subject Blue Point E438818 entity
Predicate sire P25213 FINISHED
Object Shamardal 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: Shamardal | Statement: [Blue Point, sire, Shamardal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shamardal
Context triple: [Blue Point, sire, Shamardal]
  • A. Shamardal chosen
    Shamardal was a champion Thoroughbred racehorse and highly influential sire known for producing multiple Group 1 winners in Europe.
  • B. 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.
  • C. Shahdara
    Shahdara is a locality on the northern outskirts of Lahore, Pakistan, serving as a major transport hub and gateway into the city.
  • D. Baidoa
    Baidoa is a major city in southwestern Somalia that serves as an important political, economic, and transportation hub for the surrounding region.
  • E. Tharwa
    Tharwa is a small rural village in the Australian Capital Territory, located south of Canberra near the Murrumbidgee River.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa342a881909afcd995405027af completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.