Triple
T19832390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Augeas |
E476494
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Elis |
E71370
|
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: Elis | Statement: [King Augeas, associatedWith, Elis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elis Context triple: [King Augeas, associatedWith, Elis]
-
A.
Elis
chosen
Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
-
B.
Elys
Elys is a variant form of the given name Ellis, used as an alternative spelling or stylistic variation.
-
C.
Elis-Thomas
Elis-Thomas is a Welsh surname most notably associated with politician Dafydd Elis-Thomas, a prominent figure in Welsh public life.
-
D.
Elissar
Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
-
E.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43477388190ba38827620f76257 |
completed | May 16, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:50 p.m.