Triple

T14794855
Position Surface form Disambiguated ID Type / Status
Subject Caldas E347746 entity
Predicate hasMunicipality P847 FINISHED
Object Palestina E189375 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: Palestina | Statement: [Caldas, hasMunicipality, Palestina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palestina
Context triple: [Caldas, hasMunicipality, Palestina]
  • A. Palestina
    Palestina is a small town and rural parish located in the Guayas Province of coastal Ecuador.
  • B. Palestina chosen
    Palestina is a small municipality located in the Caldas Department of Colombia, known for its coffee production and proximity to the city of Manizales.
  • C. Palestine
    Palestine is a historic region in Western Asia at the eastern end of the Mediterranean Sea, significant as a crossroads of civilizations and a central homeland in Jewish, Christian, and Islamic traditions.
  • D. Israel
    Israel is a key patriarchal figure in the Hebrew Bible, regarded as the ancestor of the Israelites and the twelve tribes that bear his sons’ names.
  • E. Israel
    Israel is a Middle Eastern country known for its significant historical and religious sites, advanced technology sector, and developed, high-income economy.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a4f71881909c3c1cc09fe89a60 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:31 a.m.