Triple
T15732488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphacteria |
E381376
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Sfaktiria |
E1037131
|
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: Sfaktiria | Statement: [Sphacteria, hasAlternativeName, Sfaktiria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sfaktiria Context triple: [Sphacteria, hasAlternativeName, Sfaktiria]
-
A.
Sfaktiria
chosen
Sfaktiria is a small Greek island in the Ionian Sea, historically known as Sphacteria, famous for its role in the Peloponnesian War.
-
B.
Berjallien
A Berjallien is a resident or native of Bourgoin-Jallieu, a town in the Isère department of southeastern France.
-
C.
Sarazi
Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
-
D.
Kifisia
Kifisia is an affluent suburban municipality in the northern part of the Athens metropolitan area in Greece, known for its upscale residential neighborhoods, shops, and green spaces.
-
E.
Crenea
Crenea is a small genus of flowering plants in the loosestrife family Lythraceae, native to tropical regions of the Americas.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fed7888190b45f28ac91e0079e |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.