Triple

T37315069

Position	Surface form	Disambiguated ID	Type / Status
Subject	Instituto de Salud para el Bienestar	`E926310`	entity
Predicate	sustituyó a	`P29646`	FINISHED
Object	Seguro Popular Seguro Popular was a Mexican public health insurance program that provided coverage to people without social security until it was replaced by the Instituto de Salud para el Bienestar.	`E2221679`	NE FINISHED

How this triple was built (3 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: Seguro Popular | Statement: [Instituto de Salud para el Bienestar, sustituyó a, Seguro Popular]

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: Seguro Popular
Triple: [Instituto de Salud para el Bienestar, sustituyó a, Seguro Popular]

Generated description

Seguro Popular was a Mexican public health insurance program that provided coverage to people without social security until it was replaced by the Instituto de Salud para el Bienestar.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: sustituyó a
Context triple: [Instituto de Salud para el Bienestar, sustituyó a, Seguro Popular]

A. placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
B. replacedWith chosen
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
C. partlyReplacedBy
Indicates that one entity has been superseded or substituted in part, but not entirely, by another entity.
D. replacedInQ7By
Indicates that an entity was superseded or substituted by another entity in version or release Q7.
E. replacedInLineupBy
Indicates that one participant in a lineup is substituted or superseded by another participant in that same lineup.
F. None of above.

Provenance (6 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_69f76eb28af88190b093b32e3fd614ab`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fb78cbef988190b8f79d946b46e6b2`	completed	May 6, 2026, 5:22 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40639708cc81908f5357b71b9d5088`	completed	June 27, 2026, 11:58 p.m.
NEDg	Description generation	`batch_6a40642ce1b08190b8820c1240d320e2`	completed	June 28, 2026, midnight
NED2	Entity disambiguation (via description)	`batch_6a40648c0dec8190acafccfdf9b1e0b8`	completed	June 28, 2026, 12:02 a.m.
PD	Predicate disambiguation	`batch_69fb5a9ac5a08190b24ef308963fc52b`	completed	May 6, 2026, 3:13 p.m.

Created at: May 3, 2026, 4:16 p.m.