Triple
T5634315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward Charcoal Ovens State Historic Park |
E147908
|
entity |
| Predicate | hasStructureCount |
P64710
|
FINISHED |
| Object | 6 charcoal ovens |
—
|
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: 6 charcoal ovens | Statement: [Ward Charcoal Ovens State Historic Park, hasStructureCount, 6 charcoal ovens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureCount Context triple: [Ward Charcoal Ovens State Historic Park, hasStructureCount, 6 charcoal ovens]
-
A.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
B.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
C.
hasSignificantStructure
Indicates that an entity possesses a structure or internal organization that is notably complex, important, or meaningful in a given context.
-
D.
hasStructureAbove
Indicates that one entity has another entity positioned vertically higher or located on top of it within a structural or spatial arrangement.
-
E.
hasStationStructure
Indicates that an entity possesses or is associated with a particular station-related physical structure.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226118548190877793dadf6cacba |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1f12ec8190b4b9d9ee31cabe19 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.