Triple
T36250538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trawsfynydd Lake |
E891787
|
entity |
| Predicate | nearbyCulturalFeature |
P179009
|
FINISHED |
| Object | historic village of Trawsfynydd |
—
|
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: historic village of Trawsfynydd | Statement: [Trawsfynydd Lake, nearbyCulturalFeature, historic village of Trawsfynydd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyCulturalFeature Context triple: [Trawsfynydd Lake, nearbyCulturalFeature, historic village of Trawsfynydd]
-
A.
nearCulturalInstitution
Indicates that one entity is located close to, or in the immediate vicinity of, a cultural institution such as a museum, theater, gallery, or similar venue.
-
B.
nearbyHeritageDestinations
chosen
Indicates that one or more heritage destinations are located close to a given reference point or entity in geographic space.
-
C.
nearbyRoyalSite
Indicates that one place or object is located close to a site associated with royalty, such as a palace, castle, or royal residence.
-
D.
typicalNearbyLandmarks
Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
-
E.
nearbyVenue
Indicates that one venue is located close to another venue in physical space.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 3, 2026, 4:09 p.m.