Triple
T652403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metonic cycle |
E11371
|
entity |
| Predicate | firstUsedIn |
P4114
|
FINISHED |
| Object | classical Greek astronomy |
—
|
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: classical Greek astronomy | Statement: [Metonic cycle, firstUsedIn, classical Greek astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedIn Context triple: [Metonic cycle, firstUsedIn, classical Greek astronomy]
-
A.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
B.
firstAppeared
chosen
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstUsedInElection
Indicates that something (such as a method, technology, or rule) was used for the first time in a particular election.
-
D.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
E.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
- F. None of above.
Provenance (3 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f35acb08190a3a8248023ce07f9 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.