Triple
T18020008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heptanese School |
E431091
|
entity |
| Predicate | mainLocation |
P3231
|
FINISHED |
| Object | Heptanese |
—
|
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: Heptanese | Statement: [Heptanese School, mainLocation, Heptanese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heptanese Context triple: [Heptanese School, mainLocation, Heptanese]
-
A.
Heptanese
chosen
Heptanese is the traditional Greek cultural region encompassing the seven main Ionian Islands, known for its distinct blend of Venetian and Greek heritage.
-
B.
Arabygdi
Arabygdi is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway.
-
C.
Erandique
Erandique is a municipality in western Honduras known for its colonial heritage and location in the mountainous Lempira region.
-
D.
Ostanes
Ostanes was a Persian prince of the Achaemenid dynasty, known primarily as a son of King Darius II of Persia.
-
E.
Peraia
Peraia is a coastal town in northern Greece situated near Thessaloniki, known for its beaches along the Thermaic Gulf.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c1c5f88190a059ce4f86f7ed36 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.