Triple
T26864147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plateau Point Trail |
E676417
|
entity |
| Predicate | waterAvailableAt |
P71677
|
FINISHED |
| Object | Indian Garden (seasonal / subject to park conditions) |
—
|
NE NERFINISHED |
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: Indian Garden (seasonal / subject to park conditions) | Statement: [Plateau Point Trail, waterAvailableAt, Indian Garden (seasonal / subject to park conditions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterAvailableAt Context triple: [Plateau Point Trail, waterAvailableAt, Indian Garden (seasonal / subject to park conditions)]
-
A.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
-
B.
waterPresence
chosen
Indicates the existence or amount of water present in or around a specified entity or location.
-
C.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
D.
waterRequirement
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
E.
waterInput
Indicates that an entity receives or is supplied with water from another source or system.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 5:27 a.m.