Triple
T1088170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prytaneion of Olympia |
E24099
|
entity |
| Predicate | locatedIn |
P40
|
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: [Prytaneion of Olympia, locatedIn, Elis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elis Context triple: [Prytaneion of Olympia, locatedIn, 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.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
-
C.
Elia
Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
-
D.
Elisa
Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
-
E.
Eli
Eli is a given name most famously associated with American inventor Eli Whitney, known for creating the cotton gin.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b97d85708190a1630256648aa4a2 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac89fd91208190ac962ec7059f716b |
completed | March 7, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:42 p.m.