Triple
T34120046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paiva River |
E875096
|
entity |
| Predicate | PaivaWalkwaysOpened |
P178684
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Paiva River, PaivaWalkwaysOpened, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PaivaWalkwaysOpened Context triple: [Paiva River, PaivaWalkwaysOpened, 2015]
-
A.
PaivaWalkwaysLength
Indicates the total measured length of the Paiva Walkways route.
-
B.
hasAirportWalkway
Indicates that there is a pedestrian walkway connection associated with or leading to an airport.
-
C.
isScenicWalkway
Indicates that a path or route is designated as a walkway notable for its visually appealing or picturesque surroundings.
-
D.
cityParkStatus
Indicates the current operational or accessibility status of a city park in relation to its governing jurisdiction or management.
-
E.
hasPedestrianAccessTo
Indicates that a location or area can be reached or entered safely and directly by people on foot.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:53 a.m.