Triple
T31667638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mer Rouge, Louisiana |
E808175
|
entity |
| Predicate | hasTimberHeritage |
P27481
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mer Rouge, Louisiana, hasTimberHeritage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimberHeritage Context triple: [Mer Rouge, Louisiana, hasTimberHeritage, true]
-
A.
hasRuralHeritage
Indicates that an entity possesses characteristics, traditions, or history associated with rural life or countryside heritage.
-
B.
hasHeritageElements
Indicates that something contains or includes elements that are part of a cultural, historical, or natural heritage.
-
C.
hasHeritageFeature
chosen
Indicates that an entity possesses or includes a feature recognized as part of cultural, historical, or natural heritage.
-
D.
hasHeritageValueFor
Indicates that something possesses cultural, historical, or heritage significance for a particular entity or community.
-
E.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 30, 2026, 11 p.m.