Triple
T9385260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howea forsteriana |
E225888
|
entity |
| Predicate | indoorPopularity |
P88638
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Howea forsteriana, indoorPopularity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indoorPopularity Context triple: [Howea forsteriana, indoorPopularity, high]
-
A.
indoorOrOutdoor
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
hasIndoorArea
Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
-
C.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
D.
indoorLocationAdvantage
Indicates that one entity has a positional or strategic advantage over another due to being located indoors.
-
E.
primaryIndoorArena
Indicates that one entity serves as the main indoor arena or principal covered sports/entertainment venue for another entity.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d142008190840e131e8f1940f9 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:44 p.m.