Triple
T12765044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sijjin |
E305100
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Illiyyin |
E305101
|
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: Illiyyin | Statement: [Sijjin, contrastedWith, Illiyyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Illiyyin Context triple: [Sijjin, contrastedWith, Illiyyin]
-
A.
Illiyyin
chosen
Illiyyin is an exalted register in Islamic belief that records the deeds and status of the righteous in the highest realms of heaven.
-
B.
Iller
The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
-
C.
Ilinichna
Ilinichna is a central female character in Mikhail Sholokhov’s epic novel "And Quiet Flows the Don," representing the struggles and resilience of Cossack women amid war and social upheaval.
-
D.
Isella
Isella is a small hamlet of the alpine municipality of Macugnaga in northern Italy.
-
E.
Pana
"Pana" is a hit Afrobeats single by Nigerian singer Tekno that gained widespread popularity across Africa and beyond.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f4e1508190a6f023f1d1dc192e |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.