Triple
T29325881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Chisholm Trail |
E743640
|
entity |
| Predicate | notableArchive |
P204185
|
FINISHED |
| Object | Library of Congress folk song collections |
E1027931
|
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: Library of Congress folk song collections | Statement: [The Old Chisholm Trail, notableArchive, Library of Congress folk song collections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableArchive Context triple: [The Old Chisholm Trail, notableArchive, Library of Congress folk song collections]
-
A.
notableStore
Indicates that a store is recognized as notable or significant in some context (e.g., historically, culturally, or commercially).
-
B.
notableManager
Indicates that an entity has, or is associated with, a manager who is particularly prominent, distinguished, or widely recognized.
-
C.
notableLibrary
Indicates that the subject is a library recognized for its significance, prominence, or special importance.
-
D.
notableArc
Indicates a significant or defining narrative development, transformation, or storyline involving the related entities.
-
E.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a034540e37c819087a5c75c559323d8 |
completed | May 12, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25a87445388190841a05393959b777 |
completed | June 7, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_6a0344e26fec8190867227f9692e92df |
completed | May 12, 2026, 3:18 p.m. |
| PDg | Predicate description generation | batch_6a0345400778819081fb3b5b71336cd7 |
completed | May 12, 2026, 3:20 p.m. |
Created at: April 28, 2026, 1:26 p.m.