Triple
T802197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calocedrus |
E17152
|
entity |
| Predicate | order |
P568
|
FINISHED |
| Object | Pinales |
E8183
|
NE 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: Pinales | Statement: [Calocedrus, order, Pinales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinales Context triple: [Calocedrus, order, Pinales]
-
A.
Pinales
chosen
Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
-
B.
Madera
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
C.
Mesa del Norte
Mesa del Norte is a high, arid plateau region in northern Mexico that forms part of the country’s broader Mexican Plateau.
-
D.
Mariposa
Mariposa is a small historic town in central California known for its Gold Rush heritage and proximity to Yosemite National Park.
-
E.
Quivicán
Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9e0f0081909d2a89387d6c08e1 |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac118d9b408190b1dd9540386406f2 |
completed | March 7, 2026, 11:52 a.m. |
Created at: March 1, 2026, 7:38 p.m.