Triple
T36843227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Archena |
E910464
|
entity |
| Predicate | hasBalneario |
P31753
|
FINISHED |
| Object | Balneario de Archena |
—
|
NE NERFINISHED |
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: Balneario de Archena | Statement: [City of Archena, hasBalneario, Balneario de Archena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBalneario Context triple: [City of Archena, hasBalneario, Balneario de Archena]
-
A.
hasSpaResort
chosen
Indicates that one entity possesses, includes, or is associated with a spa resort as an amenity or feature.
-
B.
hasSpaTown
Indicates that a place is associated with or contains a town known for its spa or therapeutic bathing facilities.
-
C.
hasSpaType
Indicates that an entity is associated with, or classified by, a specific type or category of spa.
-
D.
hasThermalBathsSince
Indicates that an entity has had thermal baths available or in operation continuously since a specified point in time.
-
E.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
- F. None of above.
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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:13 p.m.