Triple

T19818812

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ipiranga district	`E476130`	entity
Predicate	hasPublicTransport	`P1288`	FINISHED
Object	Sacomã station	`—`	NE NERFINISHED

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: Sacomã station | Statement: [Ipiranga district, hasPublicTransport, Sacomã station]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Sacomã station
Context triple: [Ipiranga district, hasPublicTransport, Sacomã station]

A. Tamanduateí station
Tamanduateí station is a major intermodal rail and metro station in São Paulo, Brazil, serving as a key transfer point between suburban trains, the metro system, and local bus lines.
B. Mauá station
Mauá station is a commuter rail station in the city of Mauá, in the São Paulo metropolitan region of Brazil, serving passengers on CPTM’s Line 10–Turquesa.
C. Caieiras station
Caieiras station is a commuter rail station in the municipality of Caieiras, São Paulo, serving passengers on the CPTM suburban rail network.
D. Pinhal Novo station
Pinhal Novo station is a railway station in Portugal that serves as a key stop on suburban and regional lines connecting Lisbon with the Setúbal Peninsula and southern regions.
E. Rio Grande da Serra station
Rio Grande da Serra station is a commuter rail terminus in the São Paulo metropolitan region, serving as the endpoint of CPTM’s Line 10–Turquesa.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Sacomã station
Target entity description: Sacomã station is a metro station in São Paulo, Brazil, serving the southeastern area of the city and connecting the Ipiranga district with the broader São Paulo Metro network.

A. Tamanduateí station
Tamanduateí station is a major intermodal rail and metro station in São Paulo, Brazil, serving as a key transfer point between suburban trains, the metro system, and local bus lines.
B. Mauá station
Mauá station is a commuter rail station in the city of Mauá, in the São Paulo metropolitan region of Brazil, serving passengers on CPTM’s Line 10–Turquesa.
C. Caieiras station
Caieiras station is a commuter rail station in the municipality of Caieiras, São Paulo, serving passengers on the CPTM suburban rail network.
D. Pinhal Novo station
Pinhal Novo station is a railway station in Portugal that serves as a key stop on suburban and regional lines connecting Lisbon with the Setúbal Peninsula and southern regions.
E. Rio Grande da Serra station
Rio Grande da Serra station is a commuter rail terminus in the São Paulo metropolitan region, serving as the endpoint of CPTM’s Line 10–Turquesa.
F. None of above. chosen

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4`	completed	April 10, 2026, 11:55 a.m.
NER	Named-entity recognition	`batch_69e654fc8b94819095fd5240f33b6713`	completed	April 20, 2026, 4:31 p.m.

Created at: April 10, 2026, 1:50 p.m.