Triple
T37661604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End Barrens |
E937728
|
entity |
| Predicate | supportsChorusPlantGrowth |
P204319
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [End Barrens, supportsChorusPlantGrowth, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsChorusPlantGrowth Context triple: [End Barrens, supportsChorusPlantGrowth, true]
-
A.
hasChorusPlantDensity
Indicates the density or concentration of chorus plants present in a given area or environment.
-
B.
hasChorusFlower
Indicates that an entity possesses or is associated with a chorus flower.
-
C.
hasExplosiveChorus
Indicates that the subject features a particularly intense, powerful, or impactful chorus section, often marked by a strong dynamic or emotional shift.
-
D.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
E.
hasChorusIn
Indicates that a musical work includes a chorus section within the specified part or segment.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.