Triple

T11336453
Position Surface form Disambiguated ID Type / Status
Subject National Migration Institute E268482 entity
Predicate abbreviation P43 FINISHED
Object INM
INM is Mexico’s federal agency responsible for regulating and overseeing immigration, border control, and the legal status of foreign nationals in the country.
 E918343 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: INM | Statement: [National Migration Institute, abbreviation, INM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: INM
Context triple: [National Migration Institute, abbreviation, INM]
  • A. IN-MP
    IN-MP is the ISO 3166-2 code that designates the Indian state of Madhya Pradesh.
  • B. IIMN
    IIMN is a premier Indian business school located in Nagpur, offering postgraduate and doctoral programs in management.
  • C. Inmeas
    Inmeas is an alternative name for the Isinay language, an Austronesian language spoken by the Isinay people in the Philippines.
  • D. IMB
    IMB was a large underground water Cherenkov detector in the United States, originally built to search for proton decay and later known for detecting neutrinos from supernova SN 1987A.
  • E. IMB
    IMB is a Christian missionary organization of the Southern Baptist Convention that focuses on sending and supporting missionaries around the world.
  • 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: INM
Triple: [National Migration Institute, abbreviation, INM]
Generated description
INM is Mexico’s federal agency responsible for regulating and overseeing immigration, border control, and the legal status of foreign nationals in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: INM
Target entity description: INM is Mexico’s federal agency responsible for regulating and overseeing immigration, border control, and the legal status of foreign nationals in the country.
  • A. IN-MP
    IN-MP is the ISO 3166-2 code that designates the Indian state of Madhya Pradesh.
  • B. IIMN
    IIMN is a premier Indian business school located in Nagpur, offering postgraduate and doctoral programs in management.
  • C. Inmeas
    Inmeas is an alternative name for the Isinay language, an Austronesian language spoken by the Isinay people in the Philippines.
  • D. IMB
    IMB was a large underground water Cherenkov detector in the United States, originally built to search for proton decay and later known for detecting neutrinos from supernova SN 1987A.
  • E. IMB
    IMB is a Christian missionary organization of the Southern Baptist Convention that focuses on sending and supporting missionaries around the world.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9ff62c88190a089dd84e2ac1d17 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5263cce588190a91f91cbdf023d5e completed April 19, 2026, 7 p.m.
NEDg Description generation batch_69e52c84518881909e6e2a593348a81a completed April 19, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69e531d0ab5881909814160b86c8e76b completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:33 p.m.