Triple
T15215723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattersburg |
E363631
|
entity |
| Predicate | localCenterFor |
P18768
|
FINISHED |
| Object | commerce |
—
|
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: commerce | Statement: [Mattersburg, localCenterFor, commerce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localCenterFor Context triple: [Mattersburg, localCenterFor, commerce]
-
A.
centralLocation
chosen
Indicates that one entity serves as the primary or central place associated with another entity.
-
B.
centerOfMassLocation
Indicates the spatial position at which the total mass of an object or system can be considered to be concentrated.
-
C.
centerOfOrigin
Indicates the place or region where something (such as a species, product, idea, or movement) originally began or was first developed.
-
D.
movementCenter
Indicates the central point or primary location around which an entity’s movement or motion is organized or focused.
-
E.
nearestMajorCenter
Indicates that one location is the closest significant urban or population center relative to another 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.