Triple
T24357056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nojoqui Falls Park |
E613951
|
entity |
| Predicate | waterfallNameEtymology |
P155907
|
FINISHED |
| Object | derived from Chumash place name "Nojoqui" |
—
|
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: derived from Chumash place name "Nojoqui" | Statement: [Nojoqui Falls Park, waterfallNameEtymology, derived from Chumash place name "Nojoqui"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallNameEtymology Context triple: [Nojoqui Falls Park, waterfallNameEtymology, derived from Chumash place name "Nojoqui"]
-
A.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
B.
reservoirNameEtymology
Indicates the origin or source of a reservoir’s name, such as the historical, cultural, or linguistic reason it was given that name.
-
C.
waterfallLocation
Indicates the spatial location or geographic area where a waterfall is situated.
-
D.
watercourseNameLanguage
Indicates the language in which the name of a watercourse (such as a river or stream) is expressed.
-
E.
watershedName
Indicates the name assigned to the watershed with which an entity is associated.
- F. None of above. chosen
Provenance (4 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29349ee188190a9d54b2c725b8a27 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2 a.m.