Triple
T28210739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald (Scottish hill classification) |
E711158
|
entity |
| Predicate | alsoCounts |
P99808
|
FINISHED |
| Object | subsidiary tops |
—
|
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: subsidiary tops | Statement: [Donald (Scottish hill classification), alsoCounts, subsidiary tops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoCounts Context triple: [Donald (Scottish hill classification), alsoCounts, subsidiary tops]
-
A.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
B.
alternativeCounting
chosen
Indicates that there exists another valid way of counting or enumerating the same set of items or events, distinct from the primary counting method.
-
C.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
D.
alsoIn
Indicates that an entity participates in or belongs to an additional context, group, or location alongside another already specified one.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64311726c81909e7b0211ec3f9058 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:39 p.m.