Triple
T38138433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy-O |
E952412
|
entity |
| Predicate | hasCollectedIn |
P207611
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Peggy-O, hasCollectedIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectedIn Context triple: [Peggy-O, hasCollectedIn, United States]
-
A.
collectedWith
Indicates that one entity was gathered, acquired, or obtained together with another entity as part of the same collection event or process.
-
B.
hasCollector
Indicates that an entity is associated with, or owned/curated by, a specific collector.
-
C.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
-
D.
collectedAs
Indicates that one entity has been gathered, acquired, or assembled as part of another entity, such as a collection, set, or group.
-
E.
hasCollectedEdition
Indicates that one entity possesses or maintains a special or curated edition or version of another entity as part of a collection.
- F. None of above. chosen
Provenance (5 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417b1df9548190ad12c969d5962806 |
completed | June 28, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.