Triple
T30087155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spinothalamic tract |
E764629
|
entity |
| Predicate | decussationPattern |
P169353
|
FINISHED |
| Object | crosses within 1–2 spinal segments of entry |
—
|
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: crosses within 1–2 spinal segments of entry | Statement: [spinothalamic tract, decussationPattern, crosses within 1–2 spinal segments of entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decussationPattern Context triple: [spinothalamic tract, decussationPattern, crosses within 1–2 spinal segments of entry]
-
A.
crossStructure
Indicates that one entity passes over, through, or across the physical span or boundary defined by another structure.
-
B.
centralCrossType
Indicates the specific form or design of the cross located at the central position of an object or structure.
-
C.
doubleCrosses
Indicates that one party betrays another by secretly switching allegiance or undermining them after initially appearing loyal.
-
D.
cleavagePattern
Indicates the characteristic way in which something splits, divides, or separates into parts under specific conditions.
-
E.
crossingStructure
Indicates that one entity serves as a structure enabling passage across or over another entity, such as a bridge, tunnel, or overpass.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 7:04 p.m.