Triple
T25420495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsyas |
E636967
|
entity |
| Predicate | connectionToAthena |
P37306
|
FINISHED |
| Object | found the aulos discarded by 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: found the aulos discarded by Athena | Statement: [Marsyas, connectionToAthena, found the aulos discarded by Athena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectionToAthena Context triple: [Marsyas, connectionToAthena, found the aulos discarded by Athena]
-
A.
connectionTo
chosen
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
B.
supportsDatabaseConnectivity
Indicates that an entity provides the capability to establish and maintain connections to a database system.
-
C.
commonConnectorName
Indicates that two or more entities share the same connector name used to link or interface them.
-
D.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
endpointOnLake
Indicates that one end of a linear feature (such as a road, path, or boundary) terminates at or directly on the shore of a lake.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 1:56 p.m.