Triple

T29648574
Position Surface form Disambiguated ID Type / Status
Subject Tamu E756071 entity
Predicate borderWithIndianTown P85285 FINISHED
Object Moreh, Manipur 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: Moreh, Manipur | Statement: [Tamu, borderWithIndianTown, Moreh, Manipur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderWithIndianTown
Context triple: [Tamu, borderWithIndianTown, Moreh, Manipur]
  • A. hasBorderTownOnIndianSide chosen
    Indicates that a location has a corresponding town situated on the Indian side of an international border.
  • B. borderWithTerritory
    Indicates that one territory shares a common boundary or border with another territory.
  • C. borderTypeWithBangladesh
    Indicates the type or nature of the border relationship that an entity shares with Bangladesh.
  • D. borderTypeWithNepal
    Indicates the specific nature or classification of the border relationship that an entity shares with Nepal.
  • E. hasBorderTownOnNepaliSide
    Indicates that a location has a corresponding town situated on the Nepali side of an international border.
  • F. None of above.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69fde49a084081909d99b1e0258169d5 completed May 8, 2026, 1:26 p.m.
PD Predicate disambiguation batch_69fde1d04bd881909a46ecbbf18dfe59 completed May 8, 2026, 1:14 p.m.
Created at: April 28, 2026, 6:51 p.m.