Triple

T22844394
Position Surface form Disambiguated ID Type / Status
Subject France Galop E566173 entity
Predicate collaboratesWith P37 FINISHED
Object PMU
PMU (Pari Mutuel Urbain) is France’s state-controlled betting operator specializing in horse racing and other sports wagering.
 E1556575 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: PMU | Statement: [France Galop, collaboratesWith, PMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PMU
Context triple: [France Galop, collaboratesWith, PMU]
  • A. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • B. PNM
    PNM is the National Rail station code for Penmere railway station in Cornwall, England.
  • C. PMK
    PMK is a regional political party in the Indian state of Tamil Nadu, primarily representing Vanniyar community interests and allied at various times with major national and state parties.
  • D. PEMU
    PEMU is a specialized unit focused on managing and mitigating environmental impacts associated with peacekeeping operations.
  • E. PAMR
    PAMR is the ICAO airport code for Merrill Field, a public general aviation airport in Anchorage, Alaska.
  • 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: PMU
Triple: [France Galop, collaboratesWith, PMU]
Generated description
PMU (Pari Mutuel Urbain) is France’s state-controlled betting operator specializing in horse racing and other sports wagering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PMU
Target entity description: PMU (Pari Mutuel Urbain) is France’s state-controlled betting operator specializing in horse racing and other sports wagering.
  • A. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • B. PNM
    PNM is the National Rail station code for Penmere railway station in Cornwall, England.
  • C. PMK
    PMK is a regional political party in the Indian state of Tamil Nadu, primarily representing Vanniyar community interests and allied at various times with major national and state parties.
  • D. PEMU
    PEMU is a specialized unit focused on managing and mitigating environmental impacts associated with peacekeeping operations.
  • E. PAMR
    PAMR is the ICAO airport code for Merrill Field, a public general aviation airport in Anchorage, Alaska.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8726d4819095b4d999b4172ff7 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b9d5888190a3c94d87904a24e2 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8bb77bc81909c5422f9d73c1e70 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba94752c48190a8892cac5ef862b2 completed May 19, 2026, 12:05 a.m.
Created at: April 17, 2026, 3:36 p.m.