Triple

T18571764
Position Surface form Disambiguated ID Type / Status
Subject Office of the Prime Minister of Singapore E453890 entity
Predicate abbreviation P43 FINISHED
Object PMO
PMO is the central executive body that supports and coordinates the work of Singapore’s Prime Minister and the Cabinet.
 E1331299 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: PMO | Statement: [Office of the Prime Minister of Singapore, abbreviation, PMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PMO
Context triple: [Office of the Prime Minister of Singapore, abbreviation, PMO]
  • A. PMO
    PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
  • B. PMB
    PMB is the abbreviation for Pure Michigan Byway, a designation for particularly scenic or culturally significant roads in the state of Michigan.
  • C. EPMO
    EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
  • D. PMI
    PMI is the IATA airport code for Palma de Mallorca Airport, the main international airport on the Spanish island of Mallorca.
  • E. PMM
    PMM is the commonly used acronym for Perpignan Méditerranée Métropole, an intercommunal urban community centered on the city of Perpignan in southern France.
  • 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: PMO
Triple: [Office of the Prime Minister of Singapore, abbreviation, PMO]
Generated description
PMO is the central executive body that supports and coordinates the work of Singapore’s Prime Minister and the Cabinet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PMO
Target entity description: PMO is the central executive body that supports and coordinates the work of Singapore’s Prime Minister and the Cabinet.
  • A. PMO
    PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
  • B. PMB
    PMB is the abbreviation for Pure Michigan Byway, a designation for particularly scenic or culturally significant roads in the state of Michigan.
  • C. EPMO
    EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
  • D. PMI
    PMI is the IATA airport code for Palma de Mallorca Airport, the main international airport on the Spanish island of Mallorca.
  • E. PMM
    PMM is the commonly used acronym for Perpignan Méditerranée Métropole, an intercommunal urban community centered on the city of Perpignan in southern France.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b021ea4819095fe06be88e74133 completed April 19, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f886f2e88190bf01061cb793c0ab completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9511eb08190952be765862cd1ab completed May 13, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9dd338881908b300bab7947f736 completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 11:43 a.m.