Triple
T31769076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greendale, Colorado |
E810887
|
entity |
| Predicate | networkOfWorkItAppearsIn |
P46564
|
FINISHED |
| Object | NBC |
—
|
NE NERFINISHED |
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: NBC | Statement: [Greendale, Colorado, networkOfWorkItAppearsIn, NBC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOfWorkItAppearsIn Context triple: [Greendale, Colorado, networkOfWorkItAppearsIn, NBC]
-
A.
networkOfWorkAppearedIn
chosen
Indicates that a work is part of, or appears within, a particular network or collection of related works.
-
B.
networkOfAppearance
Indicates a relationship where entities are connected through shared or co-occurring appearances within the same context, medium, or setting.
-
C.
networkOfWorkContext
Indicates a relationship where one work context is connected to or associated with other work contexts within a broader network or system.
-
D.
platformOfWorkAppearingIn
Indicates the platform or medium on which a given work is presented, published, or made available.
-
E.
isNetworkOf
Indicates that one entity functions as a network that connects, supports, or encompasses another entity or set of entities.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 30, 2026, 11:33 p.m.