Triple
T13158962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipsoi |
E312670
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Lipsoi |
E121403
|
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: Lipsoi | Statement: [Leipsoi, alternativeName, Lipsoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipsoi Context triple: [Leipsoi, alternativeName, Lipsoi]
-
A.
Lipsi
chosen
Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
-
B.
Looz
Looz is the historical name of the medieval County of Loon, a former principality in what is now eastern Belgium.
-
C.
The Lip
The Lip is a nickname famously associated with legendary American boxer Muhammad Ali, highlighting his quick wit and outspoken personality.
-
D.
Lipoveni
Lipoveni is the endonym used by the Lipovans, a Russian Old Believer community primarily settled in parts of Eastern Europe such as Romania and Ukraine.
-
E.
Lipeka
"Lipeka" is a song by Nigerian Afropop singer Yemi Alade, showcasing her vibrant, danceable style and pan-African musical influences.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf2ae688190b3484989791977ce |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.