Triple

T9535145
Position Surface form Disambiguated ID Type / Status
Subject Forensic Medical Service (SEMEFO) facilities E229994 entity
Predicate abbreviation P43 FINISHED
Object SEMEFO
SEMEFO is Mexico’s government-run forensic medical service responsible for conducting autopsies, identifying bodies, and performing other legal-medical examinations.
 E806102 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: SEMEFO | Statement: [Forensic Medical Service (SEMEFO) facilities, abbreviation, SEMEFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEMEFO
Context triple: [Forensic Medical Service (SEMEFO) facilities, abbreviation, SEMEFO]
  • A. Samre
    Samre is an ethnic group and language of mainland Southeast Asia, traditionally associated with the Pearic branch of the Austroasiatic language family.
  • B. Sôval Phârë
    Sôval Phârë is the Adûnaic name for Westron, the Common Speech of Middle-earth in J.R.R. Tolkien’s legendarium.
  • C. Tachenwit
    Tachenwit is an alternative name for the Chenoua language, a Berber language spoken in northern Algeria.
  • D. Suseo
    Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
  • E. Dyula
    Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • 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: SEMEFO
Triple: [Forensic Medical Service (SEMEFO) facilities, abbreviation, SEMEFO]
Generated description
SEMEFO is Mexico’s government-run forensic medical service responsible for conducting autopsies, identifying bodies, and performing other legal-medical examinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEMEFO
Target entity description: SEMEFO is Mexico’s government-run forensic medical service responsible for conducting autopsies, identifying bodies, and performing other legal-medical examinations.
  • A. Samre
    Samre is an ethnic group and language of mainland Southeast Asia, traditionally associated with the Pearic branch of the Austroasiatic language family.
  • B. Sôval Phârë
    Sôval Phârë is the Adûnaic name for Westron, the Common Speech of Middle-earth in J.R.R. Tolkien’s legendarium.
  • C. Tachenwit
    Tachenwit is an alternative name for the Chenoua language, a Berber language spoken in northern Algeria.
  • D. Suseo
    Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
  • E. Dyula
    Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cc58bc8190ba921410e4b64aaa completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c4804988190b99343734b4882e0 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14e5455848190a0b2aa4d93204c6a completed April 4, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_69d14eab4b6c819081e1f54cc79bf49f completed April 4, 2026, 5:47 p.m.
Created at: March 30, 2026, 8 p.m.