Triple

T8080109
Position Surface form Disambiguated ID Type / Status
Subject Net 25 E188591 entity
Predicate formerName P65 FINISHED
Object Net25 E188591 NE FINISHED

How this triple was built (2 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: Net25 | Statement: [Net 25, formerName, Net25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Net25
Context triple: [Net 25, formerName, Net25]
  • A. Net 25 chosen
    Net 25 is a Philippine free-to-air television network known for its news, public affairs, and family-oriented entertainment programming.
  • B. N256
    N256 is a Dutch provincial road in Zeeland that serves as a key regional route, including the approach to the Zeeland Bridge.
  • C. INETER
    INETER is Nicaragua’s national geophysical and meteorological institute responsible for monitoring volcanic, seismic, and other natural hazards across the country.
  • D. The Net 2.0
    The Net 2.0 is a 2006 direct-to-video techno-thriller film that serves as a stand-alone sequel to the 1995 movie "The Net," focusing on identity theft and cybercrime.
  • E. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a504d48190ace96e814d99b182 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f79ac08190af49e77bee67921d completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:28 p.m.