Triple
T19287855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klynveld Peat Marwick Goerdeler |
E482359
|
entity |
| Predicate | hasNetworkStructure |
P135140
|
FINISHED |
| Object | member firms |
—
|
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: member firms | Statement: [Klynveld Peat Marwick Goerdeler, hasNetworkStructure, member firms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkStructure Context triple: [Klynveld Peat Marwick Goerdeler, hasNetworkStructure, member firms]
-
A.
haveStructure
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
B.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
C.
hasStationStructure
Indicates that an entity possesses or is associated with a particular station-related physical structure.
-
D.
hasGroupStructure
Indicates that the related entities together form an algebraic group under a specified operation, satisfying closure, associativity, identity, and invertibility.
-
E.
hasNetworkElement
Indicates that one entity includes, contains, or is associated with a specific network element as part of its network structure or configuration.
- F. None of above. chosen
Provenance (4 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc032f108190a89e47d1458f3f55 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:30 p.m.