Triple

T8555172
Position Surface form Disambiguated ID Type / Status
Subject Jelebu District E202545 entity
Predicate hasSettlement P1068 FINISHED
Object Titi
Titi is a small town in the Jelebu District of Negeri Sembilan, Malaysia, known for its rural setting and local agricultural activities.
 E742032 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: Titi | Statement: [Jelebu District, hasSettlement, Titi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Titi
Context triple: [Jelebu District, hasSettlement, Titi]
  • A. Titti
    Titti were one of the principal Celtiberian tribes inhabiting the central Iberian Peninsula in pre-Roman times.
  • B. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • C. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • D. Tigery
    Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Mimili
    Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
  • 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: Titi
Triple: [Jelebu District, hasSettlement, Titi]
Generated description
Titi is a small town in the Jelebu District of Negeri Sembilan, Malaysia, known for its rural setting and local agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Titi
Target entity description: Titi is a small town in the Jelebu District of Negeri Sembilan, Malaysia, known for its rural setting and local agricultural activities.
  • A. Titti
    Titti were one of the principal Celtiberian tribes inhabiting the central Iberian Peninsula in pre-Roman times.
  • B. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • C. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • D. Tigery
    Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Mimili
    Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88a936c8190a0234bf7da2ff55a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dd67d288190a147562a99ecde56 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:19 p.m.