Triple
T18241885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vila do Corvo |
E436835
|
entity |
| Predicate | onlyTownOn |
P847
|
FINISHED |
| Object | Corvo Island |
—
|
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: Corvo Island | Statement: [Vila do Corvo, onlyTownOn, Corvo Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onlyTownOn Context triple: [Vila do Corvo, onlyTownOn, Corvo Island]
-
A.
fromTown
Indicates that one entity originates from, or is associated as being from, a particular town represented by the other entity.
-
B.
hasTown
chosen
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
-
C.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
D.
townIncluded
Indicates that one town is geographically or administratively contained within another specified area or jurisdiction.
-
E.
cityOrTown
Indicates that the subject is classified as a city or a town.
- F. None of above.
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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e387f481909d72574fb7d17923 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.