Triple
T23050535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimmei Seamount |
E573997
|
entity |
| Predicate | chainOrientation |
P150788
|
FINISHED |
| Object | north–south to northwest–southeast |
—
|
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: north–south to northwest–southeast | Statement: [Kimmei Seamount, chainOrientation, north–south to northwest–southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chainOrientation Context triple: [Kimmei Seamount, chainOrientation, north–south to northwest–southeast]
-
A.
trailOrientation
Indicates the directional alignment or facing direction of a trail relative to a reference frame or compass directions.
-
B.
spinOrientation
Indicates the relative direction or alignment of an entity’s spin or rotational motion with respect to a chosen reference.
-
C.
coneOrientation
Indicates the directional alignment or pointing direction of a cone relative to a reference frame or object.
-
D.
styleOrientation
Indicates the general stylistic direction or aesthetic approach that characterizes how something is designed, presented, or expressed.
-
E.
poleOrientation
Indicates the directional alignment or facing of a pole relative to a reference frame or coordinate 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:54 p.m.