Triple
T202736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Historical Landmark |
E4539
|
entity |
| Predicate | hasAssociatedProcess |
P1410
|
FINISHED |
| Object | nomination and designation procedure |
—
|
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: nomination and designation procedure | Statement: [California Historical Landmark, hasAssociatedProcess, nomination and designation procedure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedProcess Context triple: [California Historical Landmark, hasAssociatedProcess, nomination and designation procedure]
-
A.
hasProcess
chosen
Indicates that an entity is associated with, participates in, or is characterized by a particular process.
-
B.
usedProcess
Indicates that an entity employed or applied a particular process to achieve a result or perform an action.
-
C.
basedOnProcess
Indicates that something is derived from, determined by, or dependent on a particular process or sequence of actions.
-
D.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.