Triple
T5052305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany Female Academy |
E113813
|
entity |
| Predicate | operationalCentury |
P20496
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Albany Female Academy, operationalCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalCentury Context triple: [Albany Female Academy, operationalCentury, 19th century]
-
A.
operatedThroughCentury
Indicates that an entity continued to operate throughout the entirety of a specified century.
-
B.
odiCenturies
Indicates the number of centuries a player has scored in One Day International (ODI) cricket matches.
-
C.
centuryOfWork
chosen
Indicates the century during which a particular work, activity, or contribution primarily took place.
-
D.
ceasedOperationsCentury
Indicates the century during which an entity stopped operating or ended its activities.
-
E.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.