Triple
T35989449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quercus suber |
E1040801
|
entity |
| Predicate | primaryProducerCountry |
P26
|
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: [Quercus suber, primaryProducerCountry, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProducerCountry Context triple: [Quercus suber, primaryProducerCountry, Portugal]
-
A.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
B.
countryOfOrigin
chosen
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
D.
createdByCountryOfOrigin
Indicates that something was created by the country from which it originally comes or is associated as its origin.
-
E.
primaryProducer
Indicates that an entity produces a good, service, or resource as the initial source in a supply, economic, or ecological chain.
- F. None of above.
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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cb85efd481909900e36fbf703c12 |
completed | June 22, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.