Triple
T32168957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunk City |
E821654
|
entity |
| Predicate | statusBefore2013 |
P197455
|
FINISHED |
| Object | relatively unknown nationally |
—
|
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: relatively unknown nationally | Statement: [Dunk City, statusBefore2013, relatively unknown nationally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBefore2013 Context triple: [Dunk City, statusBefore2013, relatively unknown nationally]
-
A.
statusBefore2016
Indicates the status or condition that an entity had prior to the year 2016.
-
B.
statusBefore2022
Indicates that an entity’s status or condition is defined as it existed prior to the year 2022.
-
C.
statusAfter2013
Indicates the condition or state of an entity specifically in the period following the year 2013.
-
D.
statusBefore2010s
Indicates that the status or condition of an entity is evaluated or defined as it was prior to the 2010s.
-
E.
legalStatusAfter2013
Indicates the legal status or condition of an entity as it applies from the year 2013 onward.
- F. None of above. chosen
Provenance (4 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69fe9208ed708190980fb5061b22ae49 |
completed | May 9, 2026, 1:46 a.m. |
Created at: May 1, 2026, 12:33 a.m.