Triple
T5634316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward Charcoal Ovens State Historic Park |
E147908
|
entity |
| Predicate | ovenShape |
P1464
|
FINISHED |
| Object | beehive-shaped |
—
|
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: beehive-shaped | Statement: [Ward Charcoal Ovens State Historic Park, ovenShape, beehive-shaped]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ovenShape Context triple: [Ward Charcoal Ovens State Historic Park, ovenShape, beehive-shaped]
-
A.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
B.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
D.
decorationShape
Indicates the geometric or visual form that a decorative element or ornament takes in relation to the object it adorns.
-
E.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
- 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_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. |
Created at: March 22, 2026, 3:41 p.m.