Triple

T20322340
Position Surface form Disambiguated ID Type / Status
Subject Eastern Ghouta E492235 entity
Predicate hasSettlement P1068 FINISHED
Object Harasta 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: Harasta | Statement: [Eastern Ghouta, hasSettlement, Harasta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harasta
Context triple: [Eastern Ghouta, hasSettlement, Harasta]
  • A. Harasta chosen
    Harasta is a town and suburb of Damascus in southwestern Syria that gained prominence as a significant site of conflict during the Syrian civil war.
  • B. Sha're
    Sha're is a fictional Abydonian woman from the Stargate franchise, best known as the wife of archaeologist Daniel Jackson and a host to the Goa'uld Amaunet.
  • C. Harahan
    Harahan is a small suburban city in the Greater New Orleans area of Louisiana, known for its residential character and proximity to the Mississippi River.
  • D. Yaltah
    Yaltah is a feminine given name most notably borne by Yaltah Menuhin, an American-born British pianist and sister of violinist Yehudi Menuhin.
  • E. Hamat
    Hamat is a coastal village in northern Lebanon known for its scenic Mediterranean views and historic religious sites.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778c4430819083b17da5067b88ef completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:20 a.m.