Triple
T15651303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Milos |
E376317
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | EM |
E1129849
|
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: EM | Statement: [municipality of Milos, hasVehicleRegistrationCode, EM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EM Context triple: [municipality of Milos, hasVehicleRegistrationCode, EM]
-
A.
EM
chosen
EM is the vehicle registration code assigned to the Syros-Ermoupoli municipality in Greece.
-
B.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
C.
ME
ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
-
D.
ME
ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
-
E.
ME
ME is a postcode area in the United Kingdom covering Maidstone and surrounding parts of Kent.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67957ebc8190b187f557bd01d58d |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.