Triple

T10786352
Position Surface form Disambiguated ID Type / Status
Subject Unicode 7.0 E254460 entity
Predicate addsBlock P62553 FINISHED
Object Tirhuta E254461 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: Tirhuta | Statement: [Unicode 7.0, addsBlock, Tirhuta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirhuta
Context triple: [Unicode 7.0, addsBlock, Tirhuta]
  • A. Tirhuta chosen
    Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
  • B. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • C. Tahawus
    Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
  • D. Ataroth
    Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
  • E. Tarshiha
    Tarshiha is an Arab town in northern Israel, known today as the Arab component of the mixed city of Ma'alot-Tarshiha.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d5422481908d7ab833c6cbc879 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de56199d088190938a72105540cf66 completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.