Triple

T15270242
Position Surface form Disambiguated ID Type / Status
Subject Lumbini Province E365001 entity
Predicate containsCity P294 FINISHED
Object Tulsipur E321963 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: Tulsipur | Statement: [Lumbini Province, containsCity, Tulsipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulsipur
Context triple: [Lumbini Province, containsCity, Tulsipur]
  • A. Tulsipur chosen
    Tulsipur is a growing urban center in western Nepal known for its role as a commercial and transportation hub in the Dang District.
  • B. Gorakhpur
    Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
  • C. Janakpurdham
    Janakpurdham is a historic city in southeastern Nepal renowned as a major Hindu pilgrimage site associated with the birthplace of Sita and the grand Janaki Temple.
  • D. Bahadurabad
    Bahadurabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its bustling markets, eateries, and central location within the city.
  • E. Kuruman
    Kuruman is a small town in South Africa’s Northern Cape province, known as a gateway to the Kalahari and for its historic natural spring, the Eye of Kuruman.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6046a088190a9ebea7672e36b73 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.