Triple
T24529479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of McFarland |
E606761
|
entity |
| Predicate | hasThemeInMedia |
P76865
|
FINISHED |
| Object | overcoming social and economic challenges |
—
|
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: overcoming social and economic challenges | Statement: [City of McFarland, hasThemeInMedia, overcoming social and economic challenges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeInMedia Context triple: [City of McFarland, hasThemeInMedia, overcoming social and economic challenges]
-
A.
hasThemeInStory
chosen
Indicates that a particular theme is present or plays a significant role within a given story.
-
B.
hasMediaAppearanceIn
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
-
C.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
D.
hasStatusInMedia
Indicates that an entity is portrayed with a particular status or condition within a specific media work or context.
-
E.
usesThemeBy
Indicates that one entity incorporates, applies, or is based on a theme that was created, defined, or provided by another entity.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.