Triple
T360271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iacomus |
E7834
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Yacomus |
E45940
|
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: Yacomus | Statement: [Iacomus, hasVariant, Yacomus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yacomus Context triple: [Iacomus, hasVariant, Yacomus]
-
A.
Jacomus
chosen
Jacomus is a variant form of the given name Iacomus, itself related to the name James.
-
B.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
-
C.
Sasson Jeans
Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
-
D.
Yalli
Yalli is a traditional Azerbaijani group folk dance characterized by dancers holding hands or shoulders and moving in synchronized circular or linear formations.
-
E.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebccb8d88190a31f7c443a0c8566 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e86386e08190a21d34fea9faaef0 |
completed | March 1, 2026, 7:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.