Triple
T8780380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross, Skye and Lochaber |
E208709
|
entity |
| Predicate | MPStartOfRepresentation |
P19506
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Ross, Skye and Lochaber, MPStartOfRepresentation, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MPStartOfRepresentation Context triple: [Ross, Skye and Lochaber, MPStartOfRepresentation, 2015]
-
A.
representationBegins
Indicates that the act or state of representing something starts or comes into effect at a particular point in time.
-
B.
firstPartRepresents
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
C.
portrayalStart
Indicates the point in time or sequence at which a particular portrayal or depiction of something begins.
-
D.
formerRepresentation
Indicates that one entity previously served as the representative (e.g., legal, political, or organizational) of another entity, but no longer holds that role.
-
E.
startTimeAsRepresentative
chosen
Indicates the time at which an entity begins serving or acting in a representative capacity.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f548aa48190b2e73f292758e361 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.