Triple
T10216771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viana do Castelo |
E242464
|
entity |
| Predicate | hasRegionCodeNUTS3 |
P2415
|
FINISHED |
| Object | PT111 |
—
|
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: PT111 | Statement: [Viana do Castelo, hasRegionCodeNUTS3, PT111]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionCodeNUTS3 Context triple: [Viana do Castelo, hasRegionCodeNUTS3, PT111]
-
A.
NUTSRegionCode
chosen
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
B.
hasThirdLevelAdministrativeTerritory
Indicates that an entity possesses or encompasses a third-level administrative territory within its hierarchical territorial organization.
-
C.
inseeCode
Indicates the official INSEE (French national statistics institute) code assigned to an entity, typically identifying a specific geographic or administrative unit.
-
D.
hasISO3166Alpha3Code
Indicates that an entity is associated with a specific three-letter country code defined by the ISO 3166-1 alpha-3 standard.
-
E.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:06 a.m.