Triple
T21059234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrrhid line |
E518806
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Ambracia |
—
|
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: Ambracia | Statement: [Pyrrhid line, capital, Ambracia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambracia Context triple: [Pyrrhid line, capital, Ambracia]
-
A.
Ambracia
chosen
Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
-
B.
Oropus
Oropus was an ancient Greek town on the border of Attica and Boeotia, best known for its sanctuary and oracle of the hero Amphiaraus.
-
C.
Aegium
Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
-
D.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
E.
Amaseia
Amaseia was an ancient city in northern Anatolia that served as the early capital of the Kingdom of Pontus and an important regional political and cultural center.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd842e8881909f4ffc4c43b7fa9f |
completed | April 21, 2026, 4:31 a.m. |
Created at: April 16, 2026, 2:37 p.m.