Triple
T26336278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gönen |
E662528
|
entity |
| Predicate | isSpaTown |
P160255
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gönen, isSpaTown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpaTown Context triple: [Gönen, isSpaTown, true]
-
A.
isSpaTownOf
Indicates that a place is recognized as a spa town belonging to, or located within the jurisdiction of, a specified larger administrative area or region.
-
B.
hasSpaTown
Indicates that a place is associated with or contains a town known for its spa or therapeutic bathing facilities.
-
C.
wasSpaTown
Indicates that a place historically functioned as a spa town, known for its therapeutic baths or mineral springs.
-
D.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
-
E.
isBeachTown
Indicates that a place is a town characterized by its location on or near a beach and its association with beach-related activities or environment.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f6e0dc88190b3eaa4acc7b5bb06 |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:36 p.m.