Triple
T7840508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir Province |
E181790
|
entity |
| Predicate | hasAncientSite |
P1098
|
FINISHED |
| Object | Teos |
E28911
|
NE 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: Teos | Statement: [İzmir Province, hasAncientSite, Teos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teos Context triple: [İzmir Province, hasAncientSite, Teos]
-
A.
Teos
Teos was a pharaoh of Egypt’s Thirtieth Dynasty, known for his military campaign against Persia and the internal opposition that ultimately led to his overthrow.
-
B.
Teos
chosen
Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
-
C.
Bastida
Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
-
D.
Alacalufe
Alacalufe refers to the Indigenous Kawésqar people of southern Chilean Patagonia, traditionally known as seafaring hunter-gatherers of the channels and fjords of the region.
-
E.
Xanéu
Xanéu is an alternative name for the Terena language, an Arawakan language spoken by the Terena people of Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aca5e348190bb73fc4748093248 |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:47 p.m.