Triple

T6317714
Position Surface form Disambiguated ID Type / Status
Subject Makassarese people E141655 entity
Predicate traditionalRegion P1968 FINISHED
Object Takalar E311458 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: Takalar | Statement: [Makassarese people, traditionalRegion, Takalar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takalar
Context triple: [Makassarese people, traditionalRegion, Takalar]
  • A. Takalar Regency chosen
    Takalar Regency is an administrative region in Indonesia located on the southern part of Sulawesi Island, known for its coastal areas and agricultural activities.
  • B. Khasab
    Khasab is a coastal city in Oman’s Musandam Peninsula known for its strategic location near the Strait of Hormuz and its role as a regional port and tourist gateway.
  • C. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • D. Al-Majma'ah
    Al-Majma'ah is a town in central Saudi Arabia, located in the Najd region and serving as an important local administrative and cultural center.
  • E. Shaki
    Shaki is a historic city in northwestern Azerbaijan known for its rich cultural heritage, traditional architecture, and role as a regional trade and craftsmanship center.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c25530819080b29e0029175c00 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e47ecea08190828af72d30d69a8c completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.