Triple
T23192799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Trichonida |
E579792
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Thermo |
—
|
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: Thermo | Statement: [Lake Trichonida, locatedNear, Thermo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thermo Context triple: [Lake Trichonida, locatedNear, Thermo]
-
A.
Thermi
Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
-
B.
Thermon
chosen
Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
-
C.
Termo
Termo is a small unincorporated rural community located in Lassen County in northeastern California.
-
D.
Thermal
Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
-
E.
Termal
Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd86640819092308751d23c6642 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.