Triple
T11839973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erichthonius |
E281620
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Ilus |
E281619
|
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: Ilus | Statement: [Erichthonius, relative, Ilus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilus Context triple: [Erichthonius, relative, Ilus]
-
A.
Ilus
chosen
Ilus is a figure in Greek mythology known as a descendant of Dardanus and an early ancestor in the royal line of Troy.
-
B.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
C.
Torriana
Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
-
D.
Ulalume
"Ulalume" is a dark, melancholic poem by Edgar Allan Poe that explores themes of grief, memory, and the haunting power of lost love.
-
E.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a63106b48190917817ec40d21a49 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28131f75c8190b379e65d5a258e7b |
completed | April 29, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:43 p.m.