Triple
T26818413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauss normal chron |
E675178
|
entity |
| Predicate | hasSubchron |
P182385
|
FINISHED |
| Object | Kaena subchron |
—
|
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: Kaena subchron | Statement: [Gauss normal chron, hasSubchron, Kaena subchron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubchron Context triple: [Gauss normal chron, hasSubchron, Kaena subchron]
-
A.
hasSubPeriod
Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
-
B.
hasSubphase
Indicates that one phase is composed of or contains another, more specific phase as a subordinate part of its progression.
-
C.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
-
D.
hasSubrole
Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
-
E.
hasSubclan
Indicates that one clan contains or is composed of a smaller, subordinate clan within its structure.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: April 27, 2026, 4:53 a.m.