Triple
T18695034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἀγαμέμνων |
E457093
|
entity |
| Predicate | hasAssociatedPlace |
P19735
|
FINISHED |
| Object | Aulis |
—
|
NE NERFINISHED |
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: Aulis | Statement: [Ἀγαμέμνων, hasAssociatedPlace, Aulis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aulis Context triple: [Ἀγαμέμνων, hasAssociatedPlace, Aulis]
-
A.
Aulis
chosen
Aulis is an ancient Greek port town in Boeotia, traditionally known as the place where the Greek fleet gathered before sailing to Troy.
-
B.
Palamedu
Palamedu is a town in Tamil Nadu, India, best known for hosting one of the most prominent annual Jallikattu (bull-taming) events during the Pongal festival.
-
C.
Kalydon
Kalydon is the alternative name for Spinalonga, a small island off Crete known for its Venetian fortress and former leper colony.
-
D.
Kalydon
Kalydon is an ancient Greek city in Aetolia, famed in mythology for the Calydonian Boar hunt and its prominent role in early Greek epic tradition.
-
E.
Helinus
Helinus is a small genus of flowering plants known for its climbing or scrambling shrubs, classified within the buckthorn family Rhamnaceae.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e66a188190801fd95f9be26042 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.