Triple

T15145550
Position Surface form Disambiguated ID Type / Status
Subject Orange S.A. E361793 entity
Predicate memberOf P10 FINISHED
Object ETNO
ETNO (European Telecommunications Network Operators' Association) is a leading industry body representing major telecommunications network operators in Europe, advocating for their interests in EU policy and regulatory matters.
 E1140488 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: ETNO | Statement: [Orange S.A., memberOf, ETNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ETNO
Context triple: [Orange S.A., memberOf, ETNO]
  • A. ETU
    ETU is the commonly used abbreviation for Erzurum Technical University, a public higher education institution located in Erzurum, Turkey.
  • B. ETI
    ETI is the station code for Estación Etiopía, a metro station in Mexico City’s rapid transit system.
  • C. ETOU
    ETOU is the ICAO airport code for Wiesbaden Army Airfield, a U.S. military airbase located near Wiesbaden, Germany.
  • D. Etne
    Etne is a rural municipality in Vestland county, western Norway, known for its fjords, mountains, and traditional farming and fishing communities.
  • E. ETM
    ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
  • 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: ETNO
Triple: [Orange S.A., memberOf, ETNO]
Generated description
ETNO (European Telecommunications Network Operators' Association) is a leading industry body representing major telecommunications network operators in Europe, advocating for their interests in EU policy and regulatory matters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ETNO
Target entity description: ETNO (European Telecommunications Network Operators' Association) is a leading industry body representing major telecommunications network operators in Europe, advocating for their interests in EU policy and regulatory matters.
  • A. ETU
    ETU is the commonly used abbreviation for Erzurum Technical University, a public higher education institution located in Erzurum, Turkey.
  • B. ETI
    ETI is the station code for Estación Etiopía, a metro station in Mexico City’s rapid transit system.
  • C. ETOU
    ETOU is the ICAO airport code for Wiesbaden Army Airfield, a U.S. military airbase located near Wiesbaden, Germany.
  • D. Etne
    Etne is a rural municipality in Vestland county, western Norway, known for its fjords, mountains, and traditional farming and fishing communities.
  • E. ETM
    ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec08c37dc8190a59289e4ee76beab completed May 9, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fec10cd2d48190ba96885ca604a853 completed May 9, 2026, 5:07 a.m.
Created at: April 10, 2026, 3:07 a.m.