Triple

T3860376
Position Surface form Disambiguated ID Type / Status
Subject ESCAC E90118 entity
Predicate hasAbbreviation P43 FINISHED
Object ESCAC
ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
 E394570 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: ESCAC | Statement: [ESCAC, hasAbbreviation, ESCAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESCAC
Context triple: [ESCAC, hasAbbreviation, ESCAC]
  • A. ECASA
    ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
  • B. ECCAS
    ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
  • C. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • D. ESC
    ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
  • E. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • 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: ESCAC
Triple: [ESCAC, hasAbbreviation, ESCAC]
Generated description
ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESCAC
Target entity description: ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
  • A. ECASA
    ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
  • B. ECCAS
    ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
  • C. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • D. ESC
    ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
  • E. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b513013db481908f8fb5f56470c0d0 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137200a08190bd2a78398e03803e completed March 14, 2026, 7:51 a.m.
Created at: March 9, 2026, 3:19 p.m.