Triple
T18858474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Real |
E461240
|
entity |
| Predicate | hasIndustrialDistrict |
P13026
|
FINISHED |
| Object | Porto Real industrial park |
—
|
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: Porto Real industrial park | Statement: [Porto Real, hasIndustrialDistrict, Porto Real industrial park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Real industrial park Context triple: [Porto Real, hasIndustrialDistrict, Porto Real industrial park]
-
A.
Distrito Industrial de Sorocaba
Distrito Industrial de Sorocaba is a major industrial zone in Sorocaba, Brazil, that concentrates manufacturing plants and logistics facilities to support the city’s economic development.
-
B.
Manaus industrial district
The Manaus industrial district is a major manufacturing hub in the Amazon region of Brazil, known for its concentration of electronics, motorcycle, and consumer goods industries operating under special tax incentive policies.
-
C.
Distrito Industrial de Sertãozinho
Distrito Industrial de Sertãozinho is an industrial zone in the municipality of Sertãozinho, Brazil, that concentrates factories and businesses to support the region’s economic and industrial development.
-
D.
Uluberia Industrial Park
Uluberia Industrial Park is a designated industrial hub in Uluberia, West Bengal, developed to host manufacturing and commercial units with supporting infrastructure and services.
-
E.
Taubaté industrial district
Taubaté industrial district is a major manufacturing hub in the city of Taubaté, Brazil, hosting numerous factories and industrial facilities that drive the region’s economic activity.
- 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: Porto Real industrial park Target entity description: Porto Real industrial park is an industrial district in Porto Real, Brazil, that hosts a concentration of manufacturing and logistics facilities supporting the region’s economic development.
-
A.
Distrito Industrial de Sorocaba
Distrito Industrial de Sorocaba is a major industrial zone in Sorocaba, Brazil, that concentrates manufacturing plants and logistics facilities to support the city’s economic development.
-
B.
Manaus industrial district
The Manaus industrial district is a major manufacturing hub in the Amazon region of Brazil, known for its concentration of electronics, motorcycle, and consumer goods industries operating under special tax incentive policies.
-
C.
Distrito Industrial de Sertãozinho
Distrito Industrial de Sertãozinho is an industrial zone in the municipality of Sertãozinho, Brazil, that concentrates factories and businesses to support the region’s economic and industrial development.
-
D.
Uluberia Industrial Park
Uluberia Industrial Park is a designated industrial hub in Uluberia, West Bengal, developed to host manufacturing and commercial units with supporting infrastructure and services.
-
E.
Taubaté industrial district
Taubaté industrial district is a major manufacturing hub in the city of Taubaté, Brazil, hosting numerous factories and industrial facilities that drive the region’s economic activity.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05eaee881909da704cf1374158c |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.