Triple
T34023480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathew Bell |
E872443
|
entity |
| Predicate | business activity |
P159851
|
FINISHED |
| Object | iron industry |
—
|
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: iron industry | Statement: [Mathew Bell, business activity, iron industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: business activity Context triple: [Mathew Bell, business activity, iron industry]
-
A.
businessActivities
chosen
Indicates the commercial operations, transactions, or services that an entity conducts as part of its business.
-
B.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
C.
commercialActivityVia
Indicates that a commercial activity is conducted, facilitated, or transacted through a specified medium, channel, or intermediary.
-
D.
businessFunction
Indicates the specific role, activity, or operational function that an entity performs within a business context.
-
E.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.