Triple
T35920122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albatenius |
E1038857
|
entity |
| Predicate | hasFullArabicName |
P6450
|
FINISHED |
| Object | Abu Abdallah Muhammad ibn Jabir ibn Sinan al-Raqqi al-Harrani al-Sabi al-Battani |
—
|
NE NERFINISHED |
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: Abu Abdallah Muhammad ibn Jabir ibn Sinan al-Raqqi al-Harrani al-Sabi al-Battani | Statement: [Albatenius, hasFullArabicName, Abu Abdallah Muhammad ibn Jabir ibn Sinan al-Raqqi al-Harrani al-Sabi al-Battani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullArabicName Context triple: [Albatenius, hasFullArabicName, Abu Abdallah Muhammad ibn Jabir ibn Sinan al-Raqqi al-Harrani al-Sabi al-Battani]
-
A.
hasNameInArabic
chosen
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
B.
hasGivenNameFormInArabic
Indicates that an entity has a specific given-name form expressed in the Arabic language.
-
C.
hasPersianName
Indicates that an entity is associated with a name expressed in the Persian language.
-
D.
hasFullNameLanguage
Indicates that the language in which a full name is expressed is associated with that full name.
-
E.
hasLadinName
Indicates that an entity is associated with a specific name expressed in the Ladin language.
- F. None of above.
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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.