Triple
T2801907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiostoma piceae |
E53165
|
entity |
| Predicate | stainLocation |
P43306
|
FINISHED |
| Object | tracheids of sapwood |
—
|
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: tracheids of sapwood | Statement: [Ophiostoma piceae, stainLocation, tracheids of sapwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stainLocation Context triple: [Ophiostoma piceae, stainLocation, tracheids of sapwood]
-
A.
plateLocation
Indicates the spatial position or placement of a plate relative to a reference location or object.
-
B.
benchLocation
Indicates that a bench is located at or associated with a specific place or position.
-
C.
apseLocation
Indicates the specific place or position where an apse is situated within a larger structure or context.
-
D.
seatLocation
Indicates the spatial position or placement of a seat relative to a reference point or environment.
-
E.
locationOfInsigniaTheft
Indicates the place where the theft of an insignia occurred.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde2ec2ac8190bd702ad3eafb6aed |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:58 p.m.