Triple
T32408840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernão do Pó |
E828156
|
entity |
| Predicate | maritimePowerServed |
P175482
|
FINISHED |
| Object | Portugal |
—
|
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: Portugal | Statement: [Fernão do Pó, maritimePowerServed, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritimePowerServed Context triple: [Fernão do Pó, maritimePowerServed, Portugal]
-
A.
navalPowerStatus
Indicates the relative strength, capability, or strategic standing of an entity’s naval forces compared to others or to defined benchmarks.
-
B.
countryNavalForce
Indicates that a country possesses, controls, or is associated with a particular naval military force.
-
C.
navalPowerType
Indicates the classification of a naval force or capability according to its type or role within maritime power structures.
-
D.
navalPowerContext
Indicates a context in which an entity’s naval strength, capabilities, or influence is relevant to its relationships or actions with other entities.
-
E.
navalCountry
Indicates that a country possesses or operates a navy, signifying its involvement in naval or maritime military activities.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 12:53 a.m.