Triple

T31681370

Position	Surface form	Disambiguated ID	Type / Status
Subject	Operativo Independencia	`E808544`	entity
Predicate	notableDetentionCenter	`P129839`	FINISHED
Object	Escuelita de Famaillá Escuelita de Famaillá was a clandestine detention and torture center in Tucumán, Argentina, used by the military dictatorship during the early stages of state terrorism in the 1970s.	`E1974089`	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: Escuelita de Famaillá | Statement: [Operativo Independencia, notableDetentionCenter, Escuelita de Famaillá]

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: Escuelita de Famaillá
Triple: [Operativo Independencia, notableDetentionCenter, Escuelita de Famaillá]

Generated description

Escuelita de Famaillá was a clandestine detention and torture center in Tucumán, Argentina, used by the military dictatorship during the early stages of state terrorism in the 1970s.

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

Target predicate: notableDetentionCenter
Context triple: [Operativo Independencia, notableDetentionCenter, Escuelita de Famaillá]

A. notablePrison
Indicates that an entity is a prison of particular significance or prominence in relation to another entity.
B. placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
C. coDetainee
Indicates that two or more individuals are detained or imprisoned together in the same facility or under the same custodial authority.
D. detentionCentreSubjectOf chosen
Indicates that a detention centre is the primary topic, focus, or subject of a related document, statement, or information resource.
E. detainedPopulation
Indicates that a population of individuals is being held in custody or confinement, typically by legal or governmental authority.
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_69f348dcf5d48190ac25b1365ae717a8`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_6a037c894b488190bcbec2eccaff4a01`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2b84bb9dec81908d5c1c927765ec26`	completed	June 12, 2026, 4:02 a.m.
NEDg	Description generation	`batch_6a2b861780f481908502203974c1b3d8`	completed	June 12, 2026, 4:07 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2b8680bf2481908a1d59faf84ade89`	completed	June 12, 2026, 4:09 a.m.
PD	Predicate disambiguation	`batch_6a0379e7aa0c8190bdc9ee4d54fc821b`	completed	May 12, 2026, 7:05 p.m.

Created at: April 30, 2026, 11:04 p.m.