Triple
T11673587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Records of the Transmission of the Lamp |
E277436
|
entity |
| Predicate | hasApproximateNumberOfBiographies |
P60112
|
FINISHED |
| Object | 1700 |
—
|
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: 1700 | Statement: [Records of the Transmission of the Lamp, hasApproximateNumberOfBiographies, 1700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfBiographies Context triple: [Records of the Transmission of the Lamp, hasApproximateNumberOfBiographies, 1700]
-
A.
numberOfBiographies
chosen
Indicates the total count of biographies associated with a given entity.
-
B.
includesBiographiesOf
Indicates that one entity contains or features biographical information about another entity.
-
C.
hasBiographicalStyle
Indicates that something is characterized by or presented in a biographical manner or style.
-
D.
isBiographerOf
Indicates that one person has written a biography about another person.
-
E.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
- 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.