Triple
T16549352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixteenth Address |
E402027
|
entity |
| Predicate | workChronologyWithinAddresses |
P5172
|
FINISHED |
| Object | sixteenth |
—
|
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: sixteenth | Statement: [Sixteenth Address, workChronologyWithinAddresses, sixteenth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workChronologyWithinAddresses Context triple: [Sixteenth Address, workChronologyWithinAddresses, sixteenth]
-
A.
workChronicles
Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
-
B.
workChronologyPosition
chosen
Indicates the relative ordering or position of a work within a sequence of works, such as in a career, series, or catalog.
-
C.
workChronologyWithinParallelLives
Indicates that one work’s chronological placement is defined relative to another work within a set of parallel or alternative life narratives.
-
D.
workOftenAddresses
Indicates that a work frequently deals with, discusses, or focuses on a particular topic or subject.
-
E.
coordinatesWorkOf
Indicates overseeing and organizing the tasks, efforts, or activities of others to ensure they work together effectively toward a common goal.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc323a88190b5c2a34de0a3c7f0 |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.