Triple
T33370355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dicksonia |
E854469
|
entity |
| Predicate | stemPosition |
P176554
|
FINISHED |
| Object | erect trunk-like stem |
—
|
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: erect trunk-like stem | Statement: [Dicksonia, stemPosition, erect trunk-like stem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stemPosition Context triple: [Dicksonia, stemPosition, erect trunk-like stem]
-
A.
leafPosition
Indicates the spatial or structural placement of a leaf relative to its supporting plant organ or axis.
-
B.
hornPosition
Indicates the relative placement or orientation of a horn with respect to a reference point or object.
-
C.
positionHead
Indicates that one entity serves as the head or primary governing element in the positional or syntactic structure of another entity.
-
D.
thumbPosition
Indicates the relative placement or orientation of a thumb with respect to another part, object, or reference frame.
-
E.
rackPosition
Indicates the spatial placement or slot of an item within a rack or racking system.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:35 a.m.