Triple
T11962299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beasain |
E284697
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ordizia |
E651224
|
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: Ordizia | Statement: [Beasain, locatedNear, Ordizia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ordizia Context triple: [Beasain, locatedNear, Ordizia]
-
A.
Ordizia
chosen
Ordizia is a historic town in Spain’s Basque Country, known for its traditional weekly market and rich cultural heritage.
-
B.
Dardanella
Dardanella is a popular early 20th-century jazz and dance band standard, best known through Ben Selvin’s hugely successful recording.
-
C.
Cenischia
Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
-
D.
Gorgasia
Gorgasia is a genus of garden eels known for their slender, burrowing bodies that protrude from sandy sea floors in tropical and subtropical oceans.
-
E.
Zalambessa
Zalambessa is a town in the Tigray Region of northern Ethiopia, situated near the border with Eritrea and known for its strategic location along the main road between the two countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4594054f08190b28b35f62dfb9198 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.