Triple
T11087849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitória |
E262167
|
entity |
| Predicate | hasSupporterBase |
P3508
|
FINISHED |
| Object | Salvador metropolitan area |
E304133
|
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: Salvador metropolitan area | Statement: [Vitória, hasSupporterBase, Salvador metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salvador metropolitan area Context triple: [Vitória, hasSupporterBase, Salvador metropolitan area]
-
A.
Salvador
Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
-
B.
Salvador
Salvador is a metro station on Line 1 of the Santiago Metro in Santiago, Chile.
-
C.
Salvador
"Salvador" is a 1986 political drama film directed by Oliver Stone, in which James Woods delivers an acclaimed performance as a cynical journalist covering the Salvadoran Civil War.
-
D.
Salvador
Salvador is a historic coastal city in northeastern Brazil known for its Afro-Brazilian culture, colonial architecture, and vibrant Carnival celebrations.
-
E.
Metropolitan Region of Salvador
chosen
The Metropolitan Region of Salvador is a major urban agglomeration in northeastern Brazil centered on the city of Salvador and encompassing several surrounding municipalities in the state of Bahia.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c5008081908f59612243fa4f7a |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441bb14d08190ac01bf3daa34ae43 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.