Triple
T8205957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleatic Stranger |
E191687
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Elea |
E150039
|
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: Elea | Statement: [Eleatic Stranger, associatedWith, Elea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elea Context triple: [Eleatic Stranger, associatedWith, Elea]
-
A.
Elea
chosen
Elea was an ancient Greek city in southern Italy, best known as the home of the Eleatic school of philosophy associated with Parmenides.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Enyeama
Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
-
D.
Xola
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
-
E.
Nggela
Nggela is an Oceanic language spoken by the Nggela (Florida) Islands communities in the Central Province of the Solomon Islands.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726a301c8190a4b2d3d184b7e448 |
completed | March 31, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedd27bc08190a8109217069a8978 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:43 p.m.