Triple
T34373033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macaé Airport |
E882212
|
entity |
| Predicate | servesBasin |
P200691
|
FINISHED |
| Object | Campos Basin |
—
|
NE NERFINISHED |
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: Campos Basin | Statement: [Macaé Airport, servesBasin, Campos Basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesBasin Context triple: [Macaé Airport, servesBasin, Campos Basin]
-
A.
basinServed
Indicates that a particular basin is supplied, drained, or otherwise functionally supported by another entity (such as a river, watershed, or infrastructure system).
-
B.
basinFor
Indicates that something serves as a basin or receptacle specifically intended for collecting, holding, or draining another entity.
-
C.
basinSupports
Indicates that a basin structurally holds, carries, or provides foundational support for another object or component.
-
D.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
-
E.
sourceBasin
Indicates that one entity is the drainage basin or watershed from which another entity (such as a river segment or water body) originates or receives its source waters.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
| PDg | Predicate description generation | batch_69ffa15c3f348190a59403bc72ac9ed4 |
completed | May 9, 2026, 9:04 p.m. |
Created at: May 1, 2026, 1:59 a.m.