Triple
T14554618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzun Hasan |
E341505
|
entity |
| Predicate | nicknameMeaning |
P7596
|
FINISHED |
| Object | Long Hasan |
E341505
|
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: Long Hasan | Statement: [Uzun Hasan, nicknameMeaning, Long Hasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Hasan Context triple: [Uzun Hasan, nicknameMeaning, Long Hasan]
-
A.
Big Hasan
Big Hasan is the higher of the twin summits of Mount Hasan, a prominent stratovolcano in central Turkey.
-
B.
Uzun Hasan
chosen
Uzun Hasan was a 15th-century ruler of the Aq Qoyunlu confederation who expanded his power across Iran and Anatolia and became a major regional rival to the Timurids and Ottomans.
-
C.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
D.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
-
E.
Al-Wahid
Al-Wahid is one of the names of God in Islamic theology, emphasizing His absolute oneness and uniqueness as the sole divine being.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab9a5ac81908779a3c8701353fa |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.