Triple
T22920174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirates in Batavia |
E568837
|
entity |
| Predicate | suitableForWeather |
P100449
|
FINISHED |
| Object | all-weather attraction |
—
|
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: all-weather attraction | Statement: [Pirates in Batavia, suitableForWeather, all-weather attraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suitableForWeather Context triple: [Pirates in Batavia, suitableForWeather, all-weather attraction]
-
A.
weatherConsideration
Indicates that certain conditions, decisions, or actions take into account or are influenced by the current or expected weather.
-
B.
isWeatherProtected
chosen
Indicates that an entity is shielded from or resistant to adverse weather conditions.
-
C.
basedOnSeason
Indicates that something is determined, influenced, or derived according to a particular season or time of year.
-
D.
isOutdoorFriendly
Indicates that something is suitable for use, presence, or activity in outdoor environments without causing problems or undue risk.
-
E.
dressRecommendation
Indicates a suggested or advised choice of dress for a particular person and/or occasion.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d40f98819096210c097b47d43b |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.