Triple
T24321149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glendevon |
E612965
|
entity |
| Predicate | locatedInGlen |
P40
|
FINISHED |
| Object |
Glendevon Glen
Glendevon Glen is a scenic valley area in Perth and Kinross, Scotland, known for its rolling hills, reservoirs, and outdoor recreation opportunities.
|
E1627006
|
NE FINISHED |
How this triple was built (3 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: Glendevon Glen | Statement: [Glendevon, locatedInGlen, Glendevon Glen]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Glendevon Glen Triple: [Glendevon, locatedInGlen, Glendevon Glen]
Generated description
Glendevon Glen is a scenic valley area in Perth and Kinross, Scotland, known for its rolling hills, reservoirs, and outdoor recreation opportunities.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInGlen Context triple: [Glendevon, locatedInGlen, Glendevon Glen]
-
A.
locatedInNorthernSuburbOf
Indicates that one entity is situated within the northern suburban area relative to another reference location.
-
B.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
D.
locatedOnLoop
Indicates that an entity is situated along or directly on a loop-shaped path, route, or circuit.
-
E.
locatedInRegionalDistrict
Indicates that one entity is geographically situated within the boundaries of a specified regional district.
- F. None of above.
Provenance (6 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ab2fa08190bc19c3edc0a1a9b2 |
completed | April 29, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fc9e4a1748190b5637b682458124a |
completed | May 22, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_6a0fcade9db88190b79f8f03c9b5f51f |
completed | May 22, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fcb724a888190838a30e05e556421 |
completed | May 22, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:51 a.m.