Triple
T31139311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hallow (filming location) |
E793736
|
entity |
| Predicate | scenicElement |
P45658
|
FINISHED |
| Object | The Dark Hedges |
E224610
|
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: The Dark Hedges | Statement: [The Hallow (filming location), scenicElement, The Dark Hedges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scenicElement Context triple: [The Hallow (filming location), scenicElement, The Dark Hedges]
-
A.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
B.
scenicCategory
Indicates the classification of a place or route based on its visual appeal or scenic qualities.
-
C.
landscapeElement
chosen
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
D.
scenicDescription
Indicates a descriptive portrayal of the visual or aesthetic qualities of a scene or landscape.
-
E.
scenicGrade
Indicates the degree to which something is visually attractive or picturesque, often in terms of natural or landscape beauty.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29471c9d0c81909b4a7ca9574d442d |
completed | June 10, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:05 p.m.