Triple
T3302899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petoskey stones |
E69375
|
entity |
| Predicate | polishability |
P24497
|
FINISHED |
| Object | takes a high polish |
—
|
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: takes a high polish | Statement: [Petoskey stones, polishability, takes a high polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polishability Context triple: [Petoskey stones, polishability, takes a high polish]
-
A.
polishObjective
Indicates that an entity’s goal or target is to improve, refine, or perfect another entity.
-
B.
polishUnit
Indicates that one entity performs the action of polishing or refining another entity, typically improving its surface, appearance, or quality.
-
C.
hasLuster
chosen
Indicates that one entity possesses a shiny, glossy, or reflective surface quality.
-
D.
ability
Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
-
E.
fine
Indicates that an authority imposes a monetary penalty on an entity for violating a rule, law, or agreement.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a9450481909f0d630e5593085e |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.