Triple
T35900311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duero wine region |
E1038334
|
entity |
| Predicate | countryContinuation |
P203831
|
FINISHED |
| Object | Portugal |
E866
|
NE 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: Portugal | Statement: [Duero wine region, countryContinuation, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryContinuation Context triple: [Duero wine region, countryContinuation, Portugal]
-
A.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
-
B.
continentCountry
Indicates that a country is located on or belongs to a specific continent.
-
C.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
D.
countryEnd
Indicates that a country ceases to exist or loses its status as an independent political entity at a specified time or event.
-
E.
continentScope
Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
- F. None of above. chosen
Provenance (5 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a02145017b08190bd424cc647c08d3b |
completed | May 11, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4ed1c788190b9d591675c4dcf26 |
completed | June 22, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_6a021338e2b08190980c489ee44c18b3 |
completed | May 11, 2026, 5:34 p.m. |
| PDg | Predicate description generation | batch_6a02144f627c81909ead77e8e6b8f84f |
completed | May 11, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4:07 p.m.