Triple
T14441721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrippa II |
E358097
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Tiberias |
E2296
|
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: Tiberias | Statement: [Agrippa II, residence, Tiberias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiberias Context triple: [Agrippa II, residence, Tiberias]
-
A.
Tiberias
chosen
Tiberias is an ancient city in northern Israel on the western shore of the Sea of Galilee, historically significant as a major center of Jewish learning and pilgrimage.
-
B.
Banias
Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
-
C.
Banias
Banias is an ancient site in the Golan Heights known for its springs, archaeological ruins, and historical sanctuary dedicated to the Greek god Pan.
-
D.
Banias
Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
-
E.
الناصرة
الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a4bb308190a39ba037debee16e |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:18 a.m.