Triple

T6552862
Position Surface form Disambiguated ID Type / Status
Subject Abu Nasr al-Sarraj E151169 entity
Predicate associatedWithPlace P2830 FINISHED
Object Tus E120194 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: Tus | Statement: [Abu Nasr al-Sarraj, associatedWithPlace, Tus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tus
Context triple: [Abu Nasr al-Sarraj, associatedWithPlace, Tus]
  • A. Tus chosen
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • B. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • C. Tu
    The Tu are a Mongolic-speaking ethnic minority in northwestern China, known for their Tibetan Buddhist traditions and distinctive agrarian culture in Qinghai and Gansu provinces.
  • D. Tuvok
    Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
  • E. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae073158819086befaea0e0ab43a completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55416e48190b574e37a6f2e6690 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:51 p.m.