Triple
T19632078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grain Elevators series |
E471294
|
entity |
| Predicate | documentaryFunction |
P136766
|
FINISHED |
| Object | record of disappearing industrial structures |
—
|
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: record of disappearing industrial structures | Statement: [Grain Elevators series, documentaryFunction, record of disappearing industrial structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentaryFunction Context triple: [Grain Elevators series, documentaryFunction, record of disappearing industrial structures]
-
A.
documentaryFocus
Indicates that a documentary work primarily centers on, examines, or explores a particular subject, theme, or entity.
-
B.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another entity.
-
C.
hasDocumentaryType
Indicates that something is associated with or classified by a specific type or category of documentary.
-
D.
documentaryTitle
Indicates that one entity is the title assigned to a documentary work associated with another entity.
-
E.
hasDocumentaryAboutIt
Indicates that there exists a documentary film or program whose subject matter is focused on the referenced entity.
- F. None of above. chosen
Provenance (4 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641036ee881909fdd8170fe4cdac9 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.