Triple
T16283609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayts Island |
E395329
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Kayts |
E1204446
|
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: Kayts | Statement: [Kayts Island, hasLocalName, Kayts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayts Context triple: [Kayts Island, hasLocalName, Kayts]
-
A.
Kayts
chosen
Kayts is a coastal town and administrative center located on Kayts Island in Sri Lanka’s Northern Province.
-
B.
Jodoigne
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
-
C.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
D.
Walcourt
Walcourt is a historic town and municipality in Wallonia, Belgium, known for its medieval architecture and the prominent Basilica of Saint Maternus.
-
E.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f93240881909d0beaddc92f0ad5 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.