Triple

T3746887
Position Surface form Disambiguated ID Type / Status
Subject Indra Sistemas E81230 entity
Predicate foundedBy P104 FINISHED
Object CESCE
CESCE is a Spanish state-backed credit insurance and risk management company that has played a key role in the ownership and development of the technology and consulting firm Indra Sistemas.
 E384505 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: CESCE | Statement: [Indra Sistemas, foundedBy, CESCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CESCE
Context triple: [Indra Sistemas, foundedBy, CESCE]
  • A. CESE
    CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
  • B. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • C. CEST
    CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
  • D. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • 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: CESCE
Triple: [Indra Sistemas, foundedBy, CESCE]
Generated description
CESCE is a Spanish state-backed credit insurance and risk management company that has played a key role in the ownership and development of the technology and consulting firm Indra Sistemas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CESCE
Target entity description: CESCE is a Spanish state-backed credit insurance and risk management company that has played a key role in the ownership and development of the technology and consulting firm Indra Sistemas.
  • A. CESE
    CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
  • B. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • C. CEST
    CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
  • D. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb69887c8190a3f1188ec85727b0 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2f5e9881908c10feafbb569f48 completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4df1cfd348190831cc472de055436 completed March 14, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69b4df7b2da881908aef158d79c2834c completed March 14, 2026, 4:09 a.m.
Created at: March 8, 2026, 3:35 p.m.