Triple
T10642332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Walk |
E250752
|
entity |
| Predicate | collectionStructureRole |
P36185
|
FINISHED |
| Object | one of ten walks |
—
|
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: one of ten walks | Statement: [Second Walk, collectionStructureRole, one of ten walks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionStructureRole Context triple: [Second Walk, collectionStructureRole, one of ten walks]
-
A.
groupStructure
Indicates that multiple entities are organized together as a collective unit with some defined internal arrangement or hierarchy.
-
B.
collectionRole
chosen
Indicates the specific function, responsibility, or position an entity holds within a collection or grouped set of items.
-
C.
workStructure
Indicates how work is organized, arranged, or structured within or between entities.
-
D.
catalogRole
Indicates that an entity holds a specific functional role or responsibility within the context of a catalog or cataloging system.
-
E.
roleInSection106
Indicates that an entity has a specific role or involvement within the context of Section 106 (typically of a legal or regulatory framework).
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfce1ddc8190893fe6f7b047b56b |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:05 p.m.