Triple
T9915906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozem |
E185867
|
entity |
| Predicate | nameForm |
P1081
|
FINISHED |
| Object | Ozem |
E185867
|
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: Ozem | Statement: [Ozem, nameForm, Ozem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozem Context triple: [Ozem, nameForm, Ozem]
-
A.
Ozem
chosen
Ozem is a biblical figure mentioned in the Old Testament as one of Jesse’s sons and thus a brother of King David.
-
B.
Talgje
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
-
C.
Yuksom
Yuksom is a historic village in the Indian state of Sikkim, known as the region’s first capital and a gateway to trekking routes in the eastern Himalayas.
-
D.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
-
E.
Semmerzake
Semmerzake is a village in East Flanders, Belgium, known for its rural character and former military airfield.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53d5be48190ab47e152760d5e2c |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20de277e881908e6d09c8cfee92ba |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.