Triple
T9128686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spriggina |
E219027
|
entity |
| Predicate | hasPosteriorRegion |
P87254
|
FINISHED |
| Object | segmented trunk |
—
|
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: segmented trunk | Statement: [Spriggina, hasPosteriorRegion, segmented trunk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPosteriorRegion Context triple: [Spriggina, hasPosteriorRegion, segmented trunk]
-
A.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
B.
hasAntipodalRegion
Indicates that one region is located at the antipodal position of another region on a sphere, such that each point in one region corresponds to a point directly opposite it in the other.
-
C.
hasRegionalPosition
Indicates that one entity holds a specific role, status, or placement within a defined geographic or regional context relative to another entity.
-
D.
locatedAfter
Indicates that one entity is positioned later than another along a defined sequence, order, or spatial/temporal axis.
-
E.
hasBaseRegion
Indicates that one entity is situated upon, supported by, or primarily associated with a specific underlying region or area.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cc85b081908ee80db0e3b7df15 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.