Triple

T11134796
Position Surface form Disambiguated ID Type / Status
Subject Faya-Largeau E263381 entity
Predicate hasAlternativeName P39 FINISHED
Object Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
 E907939 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: Faya | Statement: [Faya-Largeau, hasAlternativeName, Faya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faya
Context triple: [Faya-Largeau, hasAlternativeName, Faya]
  • A. Fata
    Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
  • B. Faiha
    Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • C. Fakui
    Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
  • D. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • E. Fajia
    Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
  • 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: Faya
Triple: [Faya-Largeau, hasAlternativeName, Faya]
Generated description
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faya
Target entity description: Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • A. Fata
    Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
  • B. Faiha
    Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • C. Fakui
    Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
  • D. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • E. Fajia
    Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.