Triple
T9506751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pannotia |
E229288
|
entity |
| Predicate | oceanicCounterpart |
P88448
|
FINISHED |
| Object | Pan-African oceans (broad sense) |
—
|
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: Pan-African oceans (broad sense) | Statement: [Pannotia, oceanicCounterpart, Pan-African oceans (broad sense)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanicCounterpart Context triple: [Pannotia, oceanicCounterpart, Pan-African oceans (broad sense)]
-
A.
oceanicPortion
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
-
B.
oceanBasin
Indicates a relationship where a geographic or marine feature is located within, or is part of, a specific ocean basin.
-
C.
adjacentSea
Indicates that one geographic entity directly borders or is next to a particular sea.
-
D.
representsOcean
Indicates that a geographic or political entity is bordered by, adjacent to, or otherwise directly associated with a particular ocean.
-
E.
isMostlyOceanic
Indicates that something consists predominantly of ocean or sea areas rather than land.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98543b1881908b537abdc1d2f9c0 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:57 p.m.