Triple
T30071916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miróbriga |
E764205
|
entity |
| Predicate | hasBathComplex |
P68523
|
FINISHED |
| Object | two main bath buildings |
—
|
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: two main bath buildings | Statement: [Miróbriga, hasBathComplex, two main bath buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBathComplex Context triple: [Miróbriga, hasBathComplex, two main bath buildings]
-
A.
hasBathhouse
chosen
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
B.
typicalBathType
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
-
C.
hasOceanBaths
Indicates that a place or location contains or is equipped with ocean baths—man-made seawater pools or bathing facilities built along the coastline.
-
D.
hasJacuzzi
Indicates that one entity possesses, includes, or is equipped with a jacuzzi.
-
E.
bathroomFeatures
Indicates that a bathroom includes or is equipped with specific features or amenities.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 7:01 p.m.