Triple

T7655528
Position Surface form Disambiguated ID Type / Status
Subject École des Mines de Paris E173369 entity
Predicate memberOf P10 FINISHED
Object ParisTech network E204828 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: ParisTech network | Statement: [École des Mines de Paris, memberOf, ParisTech network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ParisTech network
Context triple: [École des Mines de Paris, memberOf, ParisTech network]
  • A. ParisTech (historical network)
    ParisTech (historical network) was a former consortium of leading French grandes écoles in science and engineering that collaborated on research, education, and international outreach.
  • B. ParisTech chosen
    ParisTech is a consortium of leading French engineering and science grandes écoles known for their excellence in research and higher education.
  • C. Paris campus
    Paris campus is the main urban campus of Sciences Po (IEP de Paris), located in the heart of Paris and focused on political science and social sciences education.
  • D. École Nationale Supérieure de Télécommunications de Paris
    École Nationale Supérieure de Télécommunications de Paris is a prestigious French grande école specializing in telecommunications and information technology engineering.
  • E. ESIEE Paris
    ESIEE Paris is a French engineering school known for its strong programs in electronics, computer science, and related technologies.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018ea3688190907c3ac7d25e3da6 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89afd1438819080c8f097df1d1453 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.