Triple
T13323010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London plane tree |
E317360
|
entity |
| Predicate | pollutionTolerance |
P109523
|
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: [London plane tree, pollutionTolerance, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pollutionTolerance Context triple: [London plane tree, pollutionTolerance, high]
-
A.
targetPollutant
Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
-
B.
hasPollutionIssue
Indicates that an entity is affected by, associated with, or characterized by a pollution-related problem or concern.
-
C.
environmentScale
Indicates the relative size, extent, or magnitude of an environment in which entities or processes exist or operate.
-
D.
pollutant
Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
-
E.
environmentalPersistence
Indicates how long or to what extent something remains present, active, or effective in an environment after its initial introduction.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:30 p.m.