Triple
T38046491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qara Mountains |
E949631
|
entity |
| Predicate | vegetationSeasonality |
P40402
|
FINISHED |
| Object | lush in monsoon, drier in winter |
—
|
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: lush in monsoon, drier in winter | Statement: [Qara Mountains, vegetationSeasonality, lush in monsoon, drier in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vegetationSeasonality Context triple: [Qara Mountains, vegetationSeasonality, lush in monsoon, drier in winter]
-
A.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
B.
growingSeason
chosen
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
-
C.
leafAppearanceSeason
Indicates the season or time of year during which a plant’s leaves typically emerge or are present.
-
D.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
E.
typicalVegetationAdaptation
Indicates the characteristic ways in which vegetation is adapted to the prevailing environmental conditions of a given area.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.