Triple
T6115058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Arnold |
E136338
|
entity |
| Predicate | sightingLocation |
P47308
|
FINISHED |
| Object | near Mount Rainier |
—
|
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: near Mount Rainier | Statement: [Ken Arnold, sightingLocation, near Mount Rainier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sightingLocation Context triple: [Ken Arnold, sightingLocation, near Mount Rainier]
-
A.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
-
B.
locationOfObservance
Indicates the place where an event, ceremony, or observance occurs or is carried out.
-
C.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
D.
subjectLocation
chosen
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
E.
eraLocation
Indicates the place or geographic context in which a particular historical era or time period occurs or is primarily associated.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.