Triple
T7762306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epione |
E176052
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Podalirius |
E650056
|
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: Podalirius | Statement: [Epione, relative, Podalirius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podalirius Context triple: [Epione, relative, Podalirius]
-
A.
Podalirius
chosen
Podalirius is a figure from Greek mythology, a son of Asclepius renowned as a skilled healer and physician in the Trojan War.
-
B.
Palas
Palas is a remote valley and settlement in Pakistan’s Kohistan region, known for its rugged terrain, rich biodiversity, and traditional mountain communities.
-
C.
Palas
Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
-
D.
Ponent
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
-
E.
Poro
Poro is a municipality located on Poro Island in the province of Cebu in the Philippines.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70404c2108190ad2b900ac9bf582b |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6c8276c8190bdc3efc2a6175610 |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:09 p.m.