Triple
T3668040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rongai Route |
E77808
|
entity |
| Predicate | hasCampingStyle |
P50042
|
FINISHED |
| Object | tented camps |
—
|
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: tented camps | Statement: [Rongai Route, hasCampingStyle, tented camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampingStyle Context triple: [Rongai Route, hasCampingStyle, tented camps]
-
A.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
B.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
C.
hasNumberOfCampsites
Indicates the specific quantity of campsites associated with a given place, facility, or area.
-
D.
hadCamp
Indicates that an entity conducted, hosted, or participated in a camp event or camping activity.
-
E.
trainingCampSite
Indicates that a location serves as the site where training camps are held or conducted.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:25 p.m.