Triple
T20730374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nea Elis |
E509556
|
entity |
| Predicate | hasOfficialLanguage |
P236
|
FINISHED |
| Object | Greek |
—
|
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: Greek | Statement: [Nea Elis, hasOfficialLanguage, Greek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greek Context triple: [Nea Elis, hasOfficialLanguage, Greek]
-
A.
Greek
chosen
Greek is an Indo-European language that serves as the official language of Greece and Cyprus and has a documented history spanning over three millennia.
-
B.
Greek
Greek is an American comedy-drama television series that follows the lives, relationships, and rivalries of college students involved in the Greek-letter fraternity and sorority system.
-
C.
Hellenic
Hellenic refers to the ancient Greek culture and civilization, encompassing its language, religion, mythology, philosophy, and artistic traditions.
-
D.
Grieco
Grieco is an Italian-origin surname borne by various notable individuals in entertainment, sports, and other fields.
-
E.
The Greek
The Greek is the nickname of El Greco, the renowned 16th-century painter, sculptor, and architect of the Spanish Renaissance known for his expressive, elongated figures and dramatic use of color and light.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ec9820819093a07f90503686b2 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.