Triple

T9547144
Position Surface form Disambiguated ID Type / Status
Subject Lincang E230320 entity
Predicate locatedNear P294 FINISHED
Object Pu'er E197985 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: Pu'er | Statement: [Lincang, locatedNear, Pu'er]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pu'er
Context triple: [Lincang, locatedNear, Pu'er]
  • A. Pu'er chosen
    Pu'er is a city in southwestern China best known as the namesake and historic production center of Pu'er tea.
  • B. Wenshan
    Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
  • C. Honghe
    Honghe is an autonomous prefecture-level region in southern Yunnan Province, China, known for its diverse ethnic minority populations and famous terraced rice fields.
  • D. Ruili
    Ruili is a border city in southwestern Yunnan, China, known as a key gateway for trade and cultural exchange with Myanmar.
  • E. Dongling
    Dongling, also known as the Fuling Tomb, is the mausoleum of the Qing dynasty's founding emperor Nurhaci and his empress, located near Shenyang in northeastern China.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9904732c8190ab60ecc47c995cbe completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:02 p.m.