Triple
T1908102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ponds |
E38047
|
entity |
| Predicate | workChronologyWithinWalden |
P5172
|
FINISHED |
| Object | middle chapters of Walden |
—
|
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: middle chapters of Walden | Statement: [The Ponds, workChronologyWithinWalden, middle chapters of Walden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workChronologyWithinWalden Context triple: [The Ponds, workChronologyWithinWalden, middle chapters of Walden]
-
A.
workChronicles
Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
-
B.
workChronologyPosition
chosen
Indicates the relative ordering or position of a work within a sequence of works, such as in a career, series, or catalog.
-
C.
chronologicalFunction
Indicates a temporal relationship where one event or state functions to order, structure, or position another within a sequence of time.
-
D.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
E.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.