Triple

T28099193

Position	Surface form	Disambiguated ID	Type / Status
Subject	Itá, Santa Catarina	`E710182`	entity
Predicate	hasRelocatedUrbanArea	`P100317`	FINISHED
Object	new town of Itá The new town of Itá is a planned urban settlement in Santa Catarina, Brazil, built to replace the original city area that was submerged by a hydroelectric dam reservoir.	`E1803133`	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: new town of Itá | Statement: [Itá, Santa Catarina, hasRelocatedUrbanArea, new town of Itá]

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: new town of Itá
Triple: [Itá, Santa Catarina, hasRelocatedUrbanArea, new town of Itá]

Generated description

The new town of Itá is a planned urban settlement in Santa Catarina, Brazil, built to replace the original city area that was submerged by a hydroelectric dam reservoir.

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

Target predicate: hasRelocatedUrbanArea
Context triple: [Itá, Santa Catarina, hasRelocatedUrbanArea, new town of Itá]

A. cityAfterRelocation chosen
Indicates the city where an entity is located after it has been moved or relocated from a previous place.
B. hasNearbyCityRenamedIn
Indicates that a nearby city underwent a renaming event during a specified time or within a particular temporal context.
C. administrativeCenterMovedFrom
Indicates that the role of administrative center was previously located in one place and has been transferred or relocated from that original location to another.
D. hasOldCity
Indicates that an entity possesses or contains an old or historic city as part of its domain or structure.
E. boroughAfterRelocation
Indicates that an entity’s associated borough is the one it belongs to after a relocation has occurred.
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_69ef9b70fd108190a875953b2e50ca91`	completed	April 27, 2026, 5:22 p.m.
NER	Named-entity recognition	`batch_69ff2d22ffb48190ae58ddf3c7e02869`	completed	May 9, 2026, 12:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15c926cd0881909ae1aa3d39512418`	completed	May 26, 2026, 4:24 p.m.
NEDg	Description generation	`batch_6a15cd324ba8819090478ecef40017ea`	completed	May 26, 2026, 4:41 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15ce365de4819098362b1376950217`	completed	May 26, 2026, 4:45 p.m.
PD	Predicate disambiguation	`batch_69ff2ac2e1c4819096cc64e94aef2ff0`	completed	May 9, 2026, 12:38 p.m.

Created at: April 27, 2026, 9:04 p.m.