Triple
T12124283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keratea |
E288767
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lavrio |
E284783
|
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: Lavrio | Statement: [Keratea, locatedNear, Lavrio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavrio Context triple: [Keratea, locatedNear, Lavrio]
-
A.
Lavrio
chosen
Lavrio is a coastal town in southeastern Attica, Greece, historically known for its ancient silver mines and modern port facilities.
-
B.
Ermoupoli
Ermoupoli is the historic main town and administrative center of the Cyclades islands in Greece, known for its neoclassical architecture and important Aegean port.
-
C.
Chalkis
Chalkis is a historic coastal city on the Greek island of Euboea, known for its strategic position on the Euripus Strait and its ancient and medieval heritage.
-
D.
Volos
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
E.
Elefsina
Elefsina is a town in western Attica, Greece, known for its ancient sanctuary of Demeter at Eleusis and its role as a major industrial and port center near Athens.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9157b2a9881908ec0e58cf438fce0 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655551d8c81909bf0980951f10320 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:49 p.m.