Triple
T38355483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiltshire Regiment |
E1046314
|
entity |
| Predicate | battalionCountInWorldWarII |
P42042
|
FINISHED |
| Object | multiple regular and hostilities-only 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 and hostilities-only battalions | Statement: [Wiltshire Regiment, battalionCountInWorldWarII, multiple regular and hostilities-only battalions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battalionCountInWorldWarII Context triple: [Wiltshire Regiment, battalionCountInWorldWarII, multiple regular and hostilities-only battalions]
-
A.
numberOfBattalions
chosen
Indicates the quantitative relationship specifying how many battalions are associated with a given entity or context.
-
B.
WWIBattle
Indicates that two or more entities are engaged in a battle or combat during World War I.
-
C.
numberOfRegimentsInvolved
Indicates the total count of regiments that participated in or were involved in a specified event or action.
-
D.
battleStarsWorldWarII
Indicates that the entity has received battle stars for participation in World War II military operations.
-
E.
worldWarIIArmy
Indicates that an entity served as an army or military force participating in World War II.
- 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_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.