Triple
T17134878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Escalona |
E415809
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Escalona |
E418116
|
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: Escalona | Statement: [Duchess of Escalona, associatedPlace, Escalona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Escalona Context triple: [Duchess of Escalona, associatedPlace, Escalona]
-
A.
Escalona
chosen
Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
-
B.
Utiel
Utiel is a town in the province of Valencia, Spain, known as part of the Utiel-Requena wine-producing region.
-
C.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
D.
Esquipulas
Esquipulas is a Guatemalan town and major Catholic pilgrimage center renowned for its venerated Black Christ statue and the Basilica of Esquipulas.
-
E.
Barajas
Barajas is a Madrid Metro station on Line 8 that serves the Barajas district near Madrid–Barajas Airport.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c36b32c8190a365b7b80207978c |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:36 a.m.