Triple

T11245787
Position Surface form Disambiguated ID Type / Status
Subject Top Industrial Managers for Europe Association E266199 entity
Predicate hasAbbreviation P43 FINISHED
Object TIME
TIME is a European network of leading engineering and technology universities focused on fostering international collaboration in education and research.
 E913635 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: TIME | Statement: [Top Industrial Managers for Europe Association, hasAbbreviation, TIME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TIME
Context triple: [Top Industrial Managers for Europe Association, hasAbbreviation, TIME]
  • A. Time
    "Time" is a punk rock song by Richard Hell and the Voidoids, known for its raw sound and introspective, poetic lyrics.
  • B. Time
    "Time" is a novel by Stephen Graham that explores themes of temporality and human experience through reflective, often philosophical prose.
  • C. Time
    Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
  • D. Time
    Time is a personified embodiment of time itself, portrayed as an eccentric, clockwork-like being in the fantasy film "Alice Through the Looking Glass."
  • E. Time
    Time is a rural municipality in Rogaland county, Norway, known for its agriculture and location in the Jæren district.
  • 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: TIME
Triple: [Top Industrial Managers for Europe Association, hasAbbreviation, TIME]
Generated description
TIME is a European network of leading engineering and technology universities focused on fostering international collaboration in education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TIME
Target entity description: TIME is a European network of leading engineering and technology universities focused on fostering international collaboration in education and research.
  • A. Time
    "Time" is a novel by Stephen Graham that explores themes of temporality and human experience through reflective, often philosophical prose.
  • B. Time
    "Time" is a punk rock song by Richard Hell and the Voidoids, known for its raw sound and introspective, poetic lyrics.
  • C. Time
    Time is a major American news magazine known for its influential coverage of current events, politics, and culture.
  • D. Time
    Time is a personified embodiment of time itself, portrayed as an eccentric, clockwork-like being in the fantasy film "Alice Through the Looking Glass."
  • E. Time
    Time is a rural municipality in Rogaland county, Norway, known for its agriculture and location in the Jæren district.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91c045c81908a9024a8aee32f4d completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad8c3bec8190987451ab73e79011 completed April 19, 2026, 10:25 a.m.
NEDg Description generation batch_69e4b12eee348190bee6c84587e4955d completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4be2bb8c88190a21773b0c43b6b99 completed April 19, 2026, 11:36 a.m.
Created at: April 8, 2026, 9:31 p.m.