Triple
T30086790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betz cells |
E764621
|
entity |
| Predicate | hasBasalDendriteOrientation |
P12663
|
FINISHED |
| Object | horizontally within layer V |
—
|
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: horizontally within layer V | Statement: [Betz cells, hasBasalDendriteOrientation, horizontally within layer V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasalDendriteOrientation Context triple: [Betz cells, hasBasalDendriteOrientation, horizontally within layer V]
-
A.
basinOrientation
Indicates the directional alignment or facing direction of a basin relative to a reference frame or geographic context.
-
B.
hasRegionalOrientation
Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
-
C.
functionalOrientation
Indicates a relationship where an entity is characterized by the specific function, role, or operational purpose it is oriented or designed to fulfill.
-
D.
hasOrientation
chosen
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
E.
hasBarycenter
Indicates that one entity serves as the barycenter (center of mass) of another entity or system.
- F. None of above.
Provenance (3 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_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 7:04 p.m.