Triple
T2162063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roma people |
E46821
|
entity |
| Predicate | hasAnthem |
P249
|
FINISHED |
| Object | Gelem, Gelem |
E13497
|
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: Gelem, Gelem | Statement: [Roma people, hasAnthem, Gelem, Gelem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelem, Gelem Context triple: [Roma people, hasAnthem, Gelem, Gelem]
-
A.
Gelem Gelem
chosen
Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
-
B.
Goemai
Goemai is a West Chadic language spoken primarily in central Nigeria by the Goemai people.
-
C.
Germoe
Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
-
D.
Lama glama
Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
-
E.
Gee
Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8b9c0881908373eabc7f81c394 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58ec0a7481909bc3e751de31e4d7 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.