Triple
T3749084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid Scotland and Fife |
E81283
|
entity |
| Predicate | totalMSPsReturned |
P26578
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Mid Scotland and Fife, totalMSPsReturned, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalMSPsReturned Context triple: [Mid Scotland and Fife, totalMSPsReturned, 16]
-
A.
numberOfMembersReturned
chosen
Indicates the quantity of members that are provided or yielded as a result of an operation or query.
-
B.
numberOfMECs
Indicates the quantity or count of MECs associated with a given entity or context.
-
C.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
D.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
E.
totalRecipients
Indicates the total number of distinct entities that receive something in the context of the described relationship or action.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6bf95c81909796fbc84995ae05 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.