Triple
T8009540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambezi National Park |
E186448
|
entity |
| Predicate | bestVisitTimeForGameViewing |
P80541
|
FINISHED |
| Object | dry season |
—
|
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: dry season | Statement: [Zambezi National Park, bestVisitTimeForGameViewing, dry season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestVisitTimeForGameViewing Context triple: [Zambezi National Park, bestVisitTimeForGameViewing, dry season]
-
A.
attendGamesAt
Indicates that an entity regularly goes to and is present at games held at a particular location or venue.
-
B.
laterPlayedWith
Indicates that one entity engaged in play with another entity at a later time than some referenced or implied earlier event.
-
C.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
-
D.
primaryGameDay
Indicates the main or most significant day on which a game or sporting event is scheduled or typically played.
-
E.
lastGamePlayed
Indicates the most recent game that an entity has participated in or played.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6f76408190a1312369521a187a |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:19 p.m.