Triple

T13081271
Position Surface form Disambiguated ID Type / Status
Subject Ping River E310210 entity
Predicate hasCityOnBanks P7935 FINISHED
Object Tak E669219 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: Tak | Statement: [Ping River, hasCityOnBanks, Tak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tak
Context triple: [Ping River, hasCityOnBanks, Tak]
  • A. Tak chosen
    Tak is a mountainous province and town in northwestern Thailand known as a gateway to Myanmar and for its natural parks, waterfalls, and cross-border trade.
  • B. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • C. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • D. Takab
    Takab is a town in Iran’s West Azerbaijan Province known as the gateway to the UNESCO-listed Sassanian archaeological site of Takht-e Soleyman.
  • E. Totak
    Totak is a lake in Vinje municipality in Vestfold og Telemark county, Norway, known for its scenic mountain surroundings and role in local hydropower.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.