Triple
T8465896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of King |
E200159
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Laskay |
E436685
|
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: Laskay | Statement: [Township of King, hasCommunity, Laskay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laskay Context triple: [Township of King, hasCommunity, Laskay]
-
A.
Laskay
chosen
Laskay is a small settlement located within the civil parish of King.
-
B.
Lapseki
Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
-
C.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
D.
Lambaye
Lambaye was the principal urban and political center that served as the capital of the historic Wolof Empire in what is now Senegal.
-
E.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d17ec8819093becdaec750aff5 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39e0d7788190add03271c940e1ff |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:11 p.m.