Triple
T12156187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athenian obol |
E289579
|
entity |
| Predicate | typicalReverseType |
P103246
|
FINISHED |
| Object | owl of Athena |
—
|
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: owl of Athena | Statement: [Athenian obol, typicalReverseType, owl of Athena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReverseType Context triple: [Athenian obol, typicalReverseType, owl of Athena]
-
A.
reversed
Indicates that the direction or order of a previously defined relationship or sequence between entities is inverted.
-
B.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
C.
reversedTrendOf
Indicates that one trend is the inverse or opposite-direction counterpart of another trend, such that when one increases or moves in a certain direction, the other correspondingly decreases or moves in the opposite direction.
-
D.
type2ReverseIntroduced
Indicates that a type 2 relationship has been introduced in the reverse direction, linking entities in the opposite orientation of the standard type 2 relation.
-
E.
reverseFeature
Indicates that one feature is the inverse or opposite counterpart of another feature in a given context.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d915d58ab881908b5b7901990308a4 |
completed | April 10, 2026, 3:23 p.m. |
Created at: April 8, 2026, 9:50 p.m.