Triple
T17483377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rumsey |
E425717
|
entity |
| Predicate | hasPhysicalCollectionSize |
P425
|
FINISHED |
| Object | tens of thousands of physical maps and related items |
—
|
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: tens of thousands of physical maps and related items | Statement: [David Rumsey, hasPhysicalCollectionSize, tens of thousands of physical maps and related items]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalCollectionSize Context triple: [David Rumsey, hasPhysicalCollectionSize, tens of thousands of physical maps and related items]
-
A.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
B.
hasApproximateBrickCount
Indicates that an entity is associated with an estimated or non-exact number of bricks.
-
C.
collectionSize
chosen
Indicates the total number of items contained within a specified collection.
-
D.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
E.
hasCollectionContent
Indicates that a collection includes or contains a specific item, element, or content as part of it.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d06c2881909632845dd7a6b1e3 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.