Triple

T6642569
Position Surface form Disambiguated ID Type / Status
Subject Clemenceau E150621 entity
Predicate locatedNear P294 FINISHED
Object Hamra E152626 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: Hamra | Statement: [Clemenceau, locatedNear, Hamra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamra
Context triple: [Clemenceau, locatedNear, Hamra]
  • A. Hamra chosen
    Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
  • B. Ḥimṣ
    Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
  • C. Hadrut
    Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
  • D. Hereti
    Hereti was a historical region and principality in eastern Georgia, later often associated with Kakheti, known for its early Christian heritage and strategic location in the Caucasus.
  • E. Alto de Arkale
    Alto de Arkale is a short but steep climb in the Basque Country that frequently features as a decisive ascent in the Clásica de San Sebastián professional cycling race.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff749d48190bf24d448daf13bc7 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf9c57c8190b617d21bb2b46b1e completed March 27, 2026, 6:27 p.m.
Created at: March 27, 2026, 2 p.m.