Triple
T10481200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simele |
E247171
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Semel
Semel is a town in the Dohuk Governorate of the Kurdistan Region in northern Iraq, known for its Assyrian population and the 1933 Simele massacre.
|
E864748
|
NE FINISHED |
How this triple was built (4 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: Semel | Statement: [Simele, hasAlternativeName, Semel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semel Context triple: [Simele, hasAlternativeName, Semel]
-
A.
Semily
Semily is a small town in the northern Czech Republic known for its location in the Liberec Region near the Bohemian Paradise (Český ráj) landscape area.
-
B.
Seimone
Seimone is a feminine given name most notably associated with WNBA star Seimone Augustus.
-
C.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
D.
Semnoz
Semnoz is a mountain in the French Alps known for its panoramic views over Lake Annecy and its popular hiking, skiing, and cycling routes.
-
E.
Seeman
Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Semel Triple: [Simele, hasAlternativeName, Semel]
Generated description
Semel is a town in the Dohuk Governorate of the Kurdistan Region in northern Iraq, known for its Assyrian population and the 1933 Simele massacre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semel Target entity description: Semel is a town in the Dohuk Governorate of the Kurdistan Region in northern Iraq, known for its Assyrian population and the 1933 Simele massacre.
-
A.
Semily
Semily is a small town in the northern Czech Republic known for its location in the Liberec Region near the Bohemian Paradise (Český ráj) landscape area.
-
B.
Seimone
Seimone is a feminine given name most notably associated with WNBA star Seimone Augustus.
-
C.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
D.
Semnoz
Semnoz is a mountain in the French Alps known for its panoramic views over Lake Annecy and its popular hiking, skiing, and cycling routes.
-
E.
Seeman
Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
- F. None of above. chosen
Provenance (5 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095c5dc88190902582db28df01b4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a03336988190bc1e61126fe576be |
completed | April 10, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:22 p.m.