Triple

T11640126
Position Surface form Disambiguated ID Type / Status
Subject Tromsø IL E276636 entity
Predicate shortName P43 FINISHED
Object TIL
TIL is the common abbreviation for Tromsø IL, a professional football club based in Tromsø, Norway.
E937458 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: TIL | Statement: [Tromsø IL, shortName, TIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIL
Context triple: [Tromsø IL, shortName, TIL]
  • A. Til
    Til is the first name of Til Schweiger, a prominent German actor, filmmaker, and producer known for his roles in both German cinema and international films.
  • B. Tinmel
    Tinmel is a historic village in Morocco’s High Atlas Mountains known as the spiritual and political cradle of the Almohad dynasty and the site of the famed Tinmal Mosque.
  • C. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • D. TLF
    TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • E. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • 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: TIL
Triple: [Tromsø IL, shortName, TIL]
Generated description
TIL is the common abbreviation for Tromsø IL, a professional football club based in Tromsø, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TIL
Target entity description: TIL is the common abbreviation for Tromsø IL, a professional football club based in Tromsø, Norway.
  • A. Til
    Til is the first name of Til Schweiger, a prominent German actor, filmmaker, and producer known for his roles in both German cinema and international films.
  • B. Tinmel
    Tinmel is a historic village in Morocco’s High Atlas Mountains known as the spiritual and political cradle of the Almohad dynasty and the site of the famed Tinmal Mosque.
  • C. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • D. TLF
    TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • E. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
NEDg Description generation batch_69eeb31438f88190bab71212293f2d2e completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.