Triple

T4814885
Position Surface form Disambiguated ID Type / Status
Subject Moabites E107163 entity
Predicate capital P234 FINISHED
Object Dibon E384309 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: Dibon | Statement: [Moabites, capital, Dibon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dibon
Context triple: [Moabites, capital, Dibon]
  • A. Dibon chosen
    Dibon was an ancient Moabite city east of the Dead Sea, known from biblical texts and archaeological remains including the famous Mesha Stele.
  • B. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • C. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • D. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • E. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c8230888190a676695e51cb3ea4 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db5652081909af5ef92df72c221 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:23 p.m.