Triple

T11998267
Position Surface form Disambiguated ID Type / Status
Subject Downtown Core E285585 entity
Predicate contains P35 FINISHED
Object Anson
Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
 E958901 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: Anson | Statement: [Downtown Core, contains, Anson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anson
Context triple: [Downtown Core, contains, Anson]
  • A. Anson
    Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
  • B. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • C. Maury
    Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
  • D. Bulloch
    Bulloch is a Scottish-origin surname borne by various notable individuals, including figures in American political and military history.
  • E. Squackett
    Squackett was a progressive rock collaboration between Yes bassist Chris Squire and former Genesis guitarist Steve Hackett.
  • 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: Anson
Triple: [Downtown Core, contains, Anson]
Generated description
Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anson
Target entity description: Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
  • A. Anson
    Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
  • B. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • C. Maury
    Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
  • D. Bulloch
    Bulloch is a Scottish-origin surname borne by various notable individuals, including figures in American political and military history.
  • E. Squackett
    Squackett was a progressive rock collaboration between Yes bassist Chris Squire and former Genesis guitarist Steve Hackett.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7e4a40819085680c48eed5418a completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47df40a8c8190bd7350ba27f57214 completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.