Triple
T17405886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitab al-Tasrif li-man ‘ajiza ‘an al-ta’lif |
E423212
|
entity |
| Predicate | lastVolumeSubject |
P98260
|
FINISHED |
| Object | surgery |
—
|
LITERAL 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: surgery | Statement: [Kitab al-Tasrif li-man ‘ajiza ‘an al-ta’lif, lastVolumeSubject, surgery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastVolumeSubject Context triple: [Kitab al-Tasrif li-man ‘ajiza ‘an al-ta’lif, lastVolumeSubject, surgery]
-
A.
lastVolume
chosen
Indicates that one entity is the final or most recent volume in a series or sequence associated with another entity.
-
B.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
C.
secondVolume
Indicates that one entity is the second volume or installment in a multi-volume work or series relative to another entity.
-
D.
notableVolume
Indicates that an entity is a significant or well-known volume (such as a book or written work) associated with another entity.
-
E.
lastKnownSpeaker
Indicates the entity that was most recently identified or recorded as speaking in a given context or interaction.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0750688190bb123634d7c7273e |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.