Triple
T13053293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sé (Angra do Heroísmo) |
E327499
|
entity |
| Predicate | hasPortugueseName |
P23359
|
FINISHED |
| Object | Sé |
E327499
|
NE FINISHED |
How this triple was built (2 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: Sé | Statement: [Sé (Angra do Heroísmo), hasPortugueseName, Sé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sé Context triple: [Sé (Angra do Heroísmo), hasPortugueseName, Sé]
-
A.
Sé
chosen
Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
-
B.
Sé
Sé is a central district in São Paulo, Brazil, known as the historic and administrative heart of the city, encompassing major landmarks, government buildings, and key transportation hubs.
-
C.
Sebaste
Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
-
D.
Suseo
Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
-
E.
Semaun
Semaun was an Indonesian communist leader and trade union organizer who became the first chairman of the Indonesian Communist Party (PKI).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdcc3e881908d9a246558b1c20e |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.