Triple
T8435225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van |
E199210
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Tushpa |
E202064
|
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: Tushpa | Statement: [Van, formerName, Tushpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tushpa Context triple: [Van, formerName, Tushpa]
-
A.
Tushpa
chosen
Tushpa was the ancient fortified city on the eastern shore of Lake Van that served as the political and cultural center of the Kingdom of Urartu in the early first millennium BCE.
-
B.
Sheberghan
Sheberghan is a city in northern Afghanistan that serves as a political and military stronghold of Uzbek leader Abdul Rashid Dostum.
-
C.
Gundeshapur
Gundeshapur was a prominent Sasanian city in southwestern Iran renowned as a major center of learning, medicine, and philosophy in late antiquity.
-
D.
Afrasiab
Afrasiab is a legendary Turanian king and formidable adversary of Iran in the Persian epic Shahnameh.
-
E.
Sarakhs
Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a905ac8190b1015e1da9b16938 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef2e998c48190a112fcf5567f0056 |
completed | April 2, 2026, 10:51 p.m. |
Created at: March 30, 2026, 6:08 p.m.