Triple
T30499550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mascate War |
E776098
|
entity |
| Predicate | hasResultForRecife |
P202423
|
FINISHED |
| Object | consolidation as commercial center of Pernambuco |
—
|
LITERAL 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: consolidation as commercial center of Pernambuco | Statement: [Mascate War, hasResultForRecife, consolidation as commercial center of Pernambuco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResultForRecife Context triple: [Mascate War, hasResultForRecife, consolidation as commercial center of Pernambuco]
-
A.
BrazilNeededResult
Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
-
B.
statusInBrazil
Indicates the legal, social, or operational status that an entity holds specifically within the context of Brazil.
-
C.
urbanAreaRankInBrazil
Indicates the relative position or ranking of an urban area compared to other urban areas within Brazil.
-
D.
distanceFromAracaju
Indicates the measured distance between a given location and the city of Aracaju.
-
E.
hasResultForHeracles
Indicates that an action, event, or process produces a specific outcome or result associated with Heracles.
- F. None of above. chosen
Provenance (4 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
| PDg | Predicate description generation | batch_6a007ef5f05c8190a2d43e4bc45fba3f |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 29, 2026, 8:14 p.m.