Triple

T452723
Position Surface form Disambiguated ID Type / Status
Subject Chapultepec Peace Accords E7162 entity
Predicate abbreviation P43 FINISHED
Object ONUSAL
ONUSAL was the United Nations Observer Mission in El Salvador, established to monitor and verify the implementation of the Chapultepec Peace Accords that ended the Salvadoran Civil War.
E57260 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: ONUSAL | Statement: [Chapultepec Peace Accords, abbreviation, ONUSAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ONUSAL
Context triple: [Chapultepec Peace Accords, abbreviation, ONUSAL]
  • A. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • D. nde
    nde is the ISO 639-2 code for Northern Ndebele, a Bantu language spoken primarily in Zimbabwe.
  • E. Notarikon
    Notarikon is a traditional Jewish interpretive technique, especially used in Kabbalah, that derives hidden meanings by treating each letter of a word as the initial or final letter of another word to form phrases or concepts.
  • 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: ONUSAL
Triple: [Chapultepec Peace Accords, abbreviation, ONUSAL]
Generated description
ONUSAL was the United Nations Observer Mission in El Salvador, established to monitor and verify the implementation of the Chapultepec Peace Accords that ended the Salvadoran Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ONUSAL
Target entity description: ONUSAL was the United Nations Observer Mission in El Salvador, established to monitor and verify the implementation of the Chapultepec Peace Accords that ended the Salvadoran Civil War.
  • A. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • D. nde
    nde is the ISO 639-2 code for Northern Ndebele, a Bantu language spoken primarily in Zimbabwe.
  • E. Notarikon
    Notarikon is a traditional Jewish interpretive technique, especially used in Kabbalah, that derives hidden meanings by treating each letter of a word as the initial or final letter of another word to form phrases or concepts.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef854f7481909dc2207faf0327ec completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44cbc3b708190ab27ce4d323472b9 completed March 1, 2026, 2:27 p.m.
NEDg Description generation batch_69a44d28817481908f1783950db136bb completed March 1, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_69a44d79b2388190b5c16e2a94abb360 completed March 1, 2026, 2:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.