Triple
T34452196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long and Winding Road |
E884400
|
entity |
| Predicate | associatedLocationInspiration |
P14480
|
FINISHED |
| Object | Scottish Highlands |
E4352
|
NE 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: Scottish Highlands | Statement: [The Long and Winding Road, associatedLocationInspiration, Scottish Highlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLocationInspiration Context triple: [The Long and Winding Road, associatedLocationInspiration, Scottish Highlands]
-
A.
inspiredLaterLocation
Indicates that one entity inspired or influenced the choice of a later location associated with another entity.
-
B.
inspiredByPlace
chosen
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
C.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
D.
settingInspiration
Indicates that one entity serves as the creative or motivational source for the setting or environment of another entity.
-
E.
relatedPlace
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
- F. None of above.
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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a371845fae08190a8e334079f50b5c9 |
completed | June 20, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.