Triple
T9504191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eoarchean Era |
E229220
|
entity |
| Predicate | oceanState |
P88423
|
FINISHED |
| Object | early hydrosphere already present |
—
|
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: early hydrosphere already present | Statement: [Eoarchean Era, oceanState, early hydrosphere already present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanState Context triple: [Eoarchean Era, oceanState, early hydrosphere already present]
-
A.
oceanPresence
Indicates that an entity is located in, adjacent to, or significantly influenced by an ocean.
-
B.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
-
C.
representsOcean
Indicates that a geographic or political entity is bordered by, adjacent to, or otherwise directly associated with a particular ocean.
-
D.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
E.
oceanicPortion
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
- 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_69cd9840148081908df237f212b62e67 |
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.