Triple
T27902919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midway Geyser Basin |
E705683
|
entity |
| Predicate | interpretiveServices |
P64412
|
FINISHED |
| Object | educational signage |
—
|
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: educational signage | Statement: [Midway Geyser Basin, interpretiveServices, educational signage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretiveServices Context triple: [Midway Geyser Basin, interpretiveServices, educational signage]
-
A.
interpretationFacility
Indicates that an entity serves as a facility or venue where interpretation (such as language or translation services) is provided or supported.
-
B.
interpretiveStatus
Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
-
C.
interpretiveRole
Indicates that one entity serves as an interpretive function or perspective through which another entity is understood, explained, or given meaning.
-
D.
languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
-
E.
hasInterpretiveService
chosen
Indicates that an entity provides or is associated with interpretive services (such as translation, sign language, or explanatory guidance) for another entity or 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 6:43 p.m.