Triple

T11241999
Position Surface form Disambiguated ID Type / Status
Subject Nahor E266093 entity
Predicate hasFather P1908 FINISHED
Object Terah E266092 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: Terah | Statement: [Nahor, hasFather, Terah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terah
Context triple: [Nahor, hasFather, Terah]
  • A. Terah chosen
    Terah is a biblical patriarch known as the father of Abraham and a descendant of Shem who lived in Mesopotamia.
  • B. Tera
    Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
  • C. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • D. Tarna
    Tarna is a river in northern Hungary that serves as one of the tributaries feeding into the Zagyva River.
  • E. Tigani
    Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad79e4788190af39186f37600a64 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.