Triple
T5622561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adonis |
E147641
|
entity |
| Predicate | AdoniaFeatures |
P37670
|
FINISHED |
| Object | women planting fast-growing gardens |
—
|
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: women planting fast-growing gardens | Statement: [Adonis, AdoniaFeatures, women planting fast-growing gardens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AdoniaFeatures Context triple: [Adonis, AdoniaFeatures, women planting fast-growing gardens]
-
A.
iconicFeature
chosen
Indicates that something serves as a distinctive, widely recognized characteristic or symbol of another entity.
-
B.
ancientCity
Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
-
C.
pantheon
Indicates a relationship where a group of deities collectively belong to or are recognized within the same religious or mythological system.
-
D.
typicalShrineFeature
Indicates that something is a characteristic or commonly found element of a shrine.
-
E.
mythologicalLocation
Indicates that the subject is a place or setting that exists within mythology, legends, or folklore rather than in historical or physical reality.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.