Triple
T3247147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalbagh Botanical Garden |
E68090
|
entity |
| Predicate | glassHouseUse |
P46812
|
FINISHED |
| Object | flower shows |
—
|
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: flower shows | Statement: [Lalbagh Botanical Garden, glassHouseUse, flower shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glassHouseUse Context triple: [Lalbagh Botanical Garden, glassHouseUse, flower shows]
-
A.
glassPreparation
Indicates the method or process by which a glass is prepared or set up for use in a given context.
-
B.
glazingType
Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
-
C.
cultivatedIndoors
Indicates that an entity is grown or maintained within an indoor environment rather than outdoors.
-
D.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
-
E.
legalizedInstitution
Indicates that an authority has formally granted legal status or approval for an institution to exist or operate.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1c184c8190a43a3594decd0920 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.