Triple

T20322347
Position Surface form Disambiguated ID Type / Status
Subject Eastern Ghouta E492235 entity
Predicate hasSettlement P1068 FINISHED
Object Arbin 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: Arbin | Statement: [Eastern Ghouta, hasSettlement, Arbin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbin
Context triple: [Eastern Ghouta, hasSettlement, Arbin]
  • A. Arbin chosen
    Arbin is a town in the Eastern Ghouta region near Damascus, Syria, that became a focal point of intense fighting and bombardment during the Syrian civil war.
  • B. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • C. Abis
    Abis is a standardized GSM interface that connects a base transceiver station (BTS) to its base station controller (BSC) for managing radio resources and signaling.
  • D. Abule
    "Abule" is a popular Afrobeat song by Nigerian artist Patoranking that celebrates community life and nostalgic memories of his hometown.
  • E. Araniko
    Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
  • 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.