Triple

T6020476
Position Surface form Disambiguated ID Type / Status
Subject Fars E134049 entity
Predicate majorCity P316 FINISHED
Object Fasa
Fasa is a city in Iran’s Fars Province known as a regional agricultural and commercial center with historical significance.
 E562223 NE FINISHED

How this triple was built (4 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: Fasa | Statement: [Fars, majorCity, Fasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fasa
Context triple: [Fars, majorCity, Fasa]
  • A. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • B. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • C. Faeto
    Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
  • D. Fajia
    Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
  • E. Fakui
    Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fasa
Triple: [Fars, majorCity, Fasa]
Generated description
Fasa is a city in Iran’s Fars Province known as a regional agricultural and commercial center with historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fasa
Target entity description: Fasa is a city in Iran’s Fars Province known as a regional agricultural and commercial center with historical significance.
  • A. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • B. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • C. Faeto
    Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
  • D. Fajia
    Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
  • E. Fakui
    Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
  • F. None of above. chosen

Provenance (5 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108be2170819084b4b940e52b0185 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10abc9aa08190acf1ced6a8be322e completed March 23, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_69c10b5c118c8190aaf5461c40472022 completed March 23, 2026, 9:43 a.m.
Created at: March 22, 2026, 4:07 p.m.