Triple

T20943053
Position Surface form Disambiguated ID Type / Status
Subject Damour E515770 entity
Predicate governorateCapital P34211 FINISHED
Object Baabda 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: Baabda | Statement: [Damour, governorateCapital, Baabda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baabda
Context triple: [Damour, governorateCapital, Baabda]
  • A. Baabda chosen
    Baabda is a town in Lebanon that serves as the administrative center of the Mount Lebanon Governorate and hosts the Lebanese presidential palace.
  • B. Bchaaleh
    Bchaaleh is a historic mountain village in northern Lebanon known for its ancient olive trees and traditional Lebanese architecture.
  • C. Baashha
    Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • D. Baydhaba
    Baydhaba is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • E. Baddo
    Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f95838708190978dfa8bc786fb22 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.