Triple

T9925733
Position Surface form Disambiguated ID Type / Status
Subject Law Enforcement Command of the Islamic Republic of Iran E187916 entity
Predicate previousAbbreviation P29210 FINISHED
Object NAJA
NAJA was the former Persian acronym for Iran’s national police force, officially known as the Law Enforcement Command of the Islamic Republic of Iran.
 E829896 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: NAJA | Statement: [Law Enforcement Command of the Islamic Republic of Iran, previousAbbreviation, NAJA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAJA
Context triple: [Law Enforcement Command of the Islamic Republic of Iran, previousAbbreviation, NAJA]
  • A. Nafe
    Nafe is an indigenous Oceanic language spoken in Vanuatu.
  • B. Nayer
    Nayer is a Cuban-American singer and songwriter best known for her collaborations on international pop and dance hits, including work with Pitbull and other Latin pop producers.
  • C. Najwajean
    Najwajean is a Spanish musical duo known for blending trip hop, electronic, and alternative sounds, formed by singer Najwa Nimri and producer Carlos Jean.
  • D. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • E. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • 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: NAJA
Triple: [Law Enforcement Command of the Islamic Republic of Iran, previousAbbreviation, NAJA]
Generated description
NAJA was the former Persian acronym for Iran’s national police force, officially known as the Law Enforcement Command of the Islamic Republic of Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAJA
Target entity description: NAJA was the former Persian acronym for Iran’s national police force, officially known as the Law Enforcement Command of the Islamic Republic of Iran.
  • A. Nafe
    Nafe is an indigenous Oceanic language spoken in Vanuatu.
  • B. Nayer
    Nayer is a Cuban-American singer and songwriter best known for her collaborations on international pop and dance hits, including work with Pitbull and other Latin pop producers.
  • C. Najwajean
    Najwajean is a Spanish musical duo known for blending trip hop, electronic, and alternative sounds, formed by singer Najwa Nimri and producer Carlos Jean.
  • D. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • E. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb599e32c8190ac676fa89c131bb6 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e143660819097a9fa96365bc25a completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21318b3008190af5db2bfb53bc2c6 completed April 5, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_69d213b979e88190ad5a4f72784a0fe6 completed April 5, 2026, 7:48 a.m.
Created at: March 30, 2026, 8:43 p.m.