Triple

T17550257
Position Surface form Disambiguated ID Type / Status
Subject Théâtre National Populaire E427439 entity
Predicate hasAbbreviation P43 FINISHED
Object TNP
TNP is a renowned French public theatre institution known for making high-quality dramatic works accessible to a broad audience.
 E1274938 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: TNP | Statement: [Théâtre National Populaire, hasAbbreviation, TNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TNP
Context triple: [Théâtre National Populaire, hasAbbreviation, TNP]
  • A. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • B. TN
    TN is the IATA airline designator assigned to Air Tahiti Nui, the international carrier of French Polynesia.
  • C. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • D. TN
    TN is the official vehicle registration code used for the Indian state of Tamil Nadu.
  • E. TUP
    TUP (Transaction Capabilities Application Part User Part) is a legacy telephone signaling protocol used in Signaling System No. 7 networks to set up and manage voice calls.
  • 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: TNP
Triple: [Théâtre National Populaire, hasAbbreviation, TNP]
Generated description
TNP is a renowned French public theatre institution known for making high-quality dramatic works accessible to a broad audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TNP
Target entity description: TNP is a renowned French public theatre institution known for making high-quality dramatic works accessible to a broad audience.
  • A. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • B. TN
    TN is the IATA airline designator assigned to Air Tahiti Nui, the international carrier of French Polynesia.
  • C. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • D. TN
    TN is the official vehicle registration code used for the Indian state of Tamil Nadu.
  • E. TUP
    TUP is the IATA airport code for Tupelo Regional Airport in Tupelo, Mississippi, United States.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d290edbc8190a7b2cb0835456890 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d597c96c8190a5eca56a748da50c completed May 11, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a01d639c220819088dd3389d1ab60ca completed May 11, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:50 a.m.