Triple
T15679117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usuli |
E377524
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Akhbari |
E154063
|
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: Akhbari | Statement: [Usuli, contrastedWith, Akhbari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akhbari Context triple: [Usuli, contrastedWith, Akhbari]
-
A.
Akhbari
chosen
Akhbari is a traditionalist sub-school within Twelver Shia Islam that emphasizes strict reliance on hadith and rejects the use of independent legal reasoning (ijtihad) by jurists.
-
B.
Habero
Habero is a town located in Eritrea's Anseba region, known primarily as a small agricultural and pastoral community.
-
C.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
D.
Warta
Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
-
E.
Haber
Haber is a German surname most famously associated with chemist Fritz Haber, a Nobel laureate known for developing the ammonia-synthesis process that revolutionized agriculture and warfare.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee2a33c81908fcd120ca670b309 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.