Triple
T22055852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain–Portugal border |
E545007
|
entity |
| Predicate | historicalFormationYear |
P146428
|
FINISHED |
| Object | 1297 |
—
|
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: 1297 | Statement: [Spain–Portugal border, historicalFormationYear, 1297]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFormationYear Context triple: [Spain–Portugal border, historicalFormationYear, 1297]
-
A.
monthOfFormation
Indicates the specific calendar month in which an entity (such as an organization or group) was formally established or created.
-
B.
associationFoundedYear
Indicates the year in which an association was formally established or founded.
-
C.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
D.
departmentFormed
Indicates that a specific department has been created or established, often at a particular time or under certain conditions.
-
E.
dateFoundedLeague
Indicates the date on which a league was officially founded or established.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285790948190b21abfb09abbb5e5 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:26 p.m.