Triple
T18694221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epaphus |
E457073
|
entity |
| Predicate | grandmother |
P3524
|
FINISHED |
| Object | Melia |
E89174
|
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: Melia | Statement: [Epaphus, grandmother, Melia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melia Context triple: [Epaphus, grandmother, Melia]
-
A.
Melia
Melia is a small genus of flowering trees in the mahogany family, best known for the chinaberry tree (Melia azedarach), which is widely cultivated as an ornamental and shade tree.
-
B.
Meliae
chosen
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
-
C.
Kamarina
Kamarina is a modern settlement in the Epirus region of northwestern Greece, located near the archaeological site of ancient Cassope.
-
D.
Melide
Melide is a Swiss municipality in the canton of Ticino, known for its scenic location on Lake Lugano and the Swissminiatur open-air miniature park.
-
E.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e66a188190801fd95f9be26042 |
completed | April 19, 2026, 11:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b2f95188190a259a50367e2a17a |
completed | May 14, 2026, 1:53 a.m. |
Created at: April 10, 2026, 11:49 a.m.