Triple
T6700685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tataviam people |
E152869
|
entity |
| Predicate | seeksStatus |
P13062
|
FINISHED |
| Object | federal recognition in the United States |
—
|
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: federal recognition in the United States | Statement: [Tataviam people, seeksStatus, federal recognition in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksStatus Context triple: [Tataviam people, seeksStatus, federal recognition in the United States]
-
A.
seeksStatusAs
chosen
Indicates that one entity is attempting to obtain or be recognized with a particular status, role, or standing in relation to another entity.
-
B.
seeksStatusChange
Indicates an entity’s intention or attempt to alter the current state, condition, or status of another entity or situation.
-
C.
seeStatus
Indicates that one entity observes or becomes aware of the current state or condition of another entity or process.
-
D.
loreStatus
Indicates the canonical or contextual standing of something within a fictional or narrative universe (such as whether it is official, speculative, or non-canonical lore).
-
E.
status
Indicates the current condition, state, or standing of an entity within a given context.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:05 p.m.