Triple
T17462697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldicot industrial estates |
E425193
|
entity |
| Predicate | typicalBusinessActivity |
P40125
|
FINISHED |
| Object | light manufacturing |
—
|
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: light manufacturing | Statement: [Caldicot industrial estates, typicalBusinessActivity, light manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBusinessActivity Context triple: [Caldicot industrial estates, typicalBusinessActivity, light manufacturing]
-
A.
placeOfBusinessActivity
chosen
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
B.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
C.
commercialActivityLevel
Indicates the intensity or extent of commercial or business-related activity occurring in a given context.
-
D.
typicalBusinessStatus
Indicates the usual or standard operational status or condition of a business (e.g., active, inactive, seasonal) under normal circumstances.
-
E.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a4c36c81909c7c4b1b0d976921 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.