Triple
T8673086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek National Road 30 |
E205846
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Domokos |
E749055
|
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: Domokos | Statement: [Greek National Road 30, servesTown, Domokos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domokos Context triple: [Greek National Road 30, servesTown, Domokos]
-
A.
Domokos
chosen
Domokos is a town in central Greece known for its strategic hilltop location overlooking the Thessalian plain and its role as a local administrative and transport hub.
-
B.
Dommoc
Dommoc was an early medieval ecclesiastical and likely political center of the Anglo-Saxon Kingdom of the East Angles, traditionally identified with a site on the Suffolk coast in England.
-
C.
Damaskinos
Damaskinos is a Greek-origin surname historically associated with notable religious and cultural figures.
-
D.
Dilios
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
-
E.
Dominyk
Dominyk is a given name, typically a modern or stylized variant of the name Dominik.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491b807c81909563a34a947bc21a |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3960ce881908f07fb9fdafcd550 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:31 p.m.