Triple
T16195483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasithi Plateau |
E393049
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Psichro |
E1198691
|
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: Psichro | Statement: [Lasithi Plateau, hasSettlement, Psichro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Psichro Context triple: [Lasithi Plateau, hasSettlement, Psichro]
-
A.
Psichro
chosen
Psichro is a small mountain village on the Lasithi Plateau in Crete, Greece, best known as the gateway to the Dikteon Cave, a mythological birthplace of Zeus.
-
B.
Krioyo
Krioyo is an ethnonym referring to Creole Surinamese people of mixed African and European descent in Suriname.
-
C.
Prokhladny
Prokhladny is a town in the Kabardino-Balkar Republic of Russia, known as an agricultural and transport center in the North Caucasus region.
-
D.
Gelida
Gelida is a municipality in the Alt Penedès comarca of Catalonia, Spain, known for its hillside setting and historic funicular railway.
-
E.
Frías
Frías is a Spanish-language surname commonly found in Spain and Latin America.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d91130819080da4e2611612e27 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecf454081909660f4ab9c556ddc |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:02 a.m.