Triple
T10448877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thabit ibn Qurra |
E246361
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | al-Biruni |
E94515
|
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: al-Biruni | Statement: [Thabit ibn Qurra, influenced, al-Biruni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Biruni Context triple: [Thabit ibn Qurra, influenced, al-Biruni]
-
A.
Al-Biruni
chosen
Al-Biruni was an 11th-century Persian polymath renowned for his pioneering works in astronomy, mathematics, geography, and comparative religion.
-
B.
Al-Farghani
Al-Farghani was a 9th-century Persian astronomer and mathematician whose influential works on Ptolemaic astronomy were widely used in both the Islamic world and medieval Europe.
-
C.
Al-Bulqini
Al-Bulqini was a prominent medieval Islamic scholar and jurist who held the prestigious title of Shaykh al-Islam.
-
D.
Al-Samarqandi
Al-Samarqandi was a prominent medieval physician and scholar whose influential medical writings helped shape the development and practice of Islamic medicine.
-
E.
Nasir al-Din al-Tusi
Nasir al-Din al-Tusi was a 13th-century Persian polymath renowned for his influential works in astronomy, mathematics, philosophy, and theology.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ef4e0dc81908d7cf0f2b6f4cd98 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:16 p.m.