Triple
T20640682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalcidian League |
E507211
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Torone |
—
|
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: Torone | Statement: [Chalcidian League, hasPart, Torone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torone Context triple: [Chalcidian League, hasPart, Torone]
-
A.
Torone
chosen
Torone was an important ancient Greek city-state located on the Sithonia peninsula of Chalcidice in northern Greece.
-
B.
Takura
Takura is a rural locality in Queensland, Australia, situated near the community associated with Howard.
-
C.
Tatewari
Tatewari is a central fire deity in Wixárika (Huichol) religion, associated with ancestral wisdom, ritual purification, and the sacred use of peyote.
-
D.
Tsorona
Tsorona is a town in the Tigray region of northern Ethiopia, near the Eritrean border, known for being a strategic site in the Eritrean–Ethiopian conflicts.
-
E.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:43 a.m.