Triple
T38355482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiltshire Regiment |
E1046314
|
entity |
| Predicate | battalionCountInWorldWarI |
P42042
|
FINISHED |
| Object | multiple regular, territorial and service battalions |
—
|
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: multiple regular, territorial and service battalions | Statement: [Wiltshire Regiment, battalionCountInWorldWarI, multiple regular, territorial and service battalions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battalionCountInWorldWarI Context triple: [Wiltshire Regiment, battalionCountInWorldWarI, multiple regular, territorial and service battalions]
-
A.
numberOfBattalions
chosen
Indicates the quantitative relationship specifying how many battalions are associated with a given entity or context.
-
B.
sizeAtOutbreakOfWWI
Indicates the size or magnitude of something specifically at the onset of World War I.
-
C.
numberOfRegimentsInvolved
Indicates the total count of regiments that participated in or were involved in a specified event or action.
-
D.
serviceBranchDuringWorldWarI
Indicates that an entity served in a specified military branch during World War I.
-
E.
roleInWorldWarI
Indicates the specific function, position, or involvement an entity had during World War I.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.