Triple
T11673586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Records of the Transmission of the Lamp |
E277436
|
entity |
| Predicate | hasNumberOfFascicles |
P97683
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Records of the Transmission of the Lamp, hasNumberOfFascicles, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfFascicles Context triple: [Records of the Transmission of the Lamp, hasNumberOfFascicles, 30]
-
A.
hasNumberOfPartsInWholeWork
chosen
Indicates that an entity specifies how many component parts are contained within a complete work.
-
B.
firstFasciclesPublished
Indicates that the subject is the entity for which the earliest fascicles (initial installments or parts of a larger work) were published.
-
C.
عدد المقاطع
Indicates the number of segments or parts into which something is divided.
-
D.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
E.
hasFrontispiece
Indicates that an item includes a frontispiece, i.e., an illustrative or decorative page placed at or near the front of a work.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.