Triple
T31057966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Augustine Nights of Lights |
E791446
|
entity |
| Predicate | illuminationArea |
P11173
|
FINISHED |
| Object | city streets |
—
|
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: city streets | Statement: [St. Augustine Nights of Lights, illuminationArea, city streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illuminationArea Context triple: [St. Augustine Nights of Lights, illuminationArea, city streets]
-
A.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
B.
lightRange
chosen
Indicates the distance or area over which a light source effectively emits or illuminates.
-
C.
illuminationMedium
Indicates the medium or method through which illumination or light is produced or delivered in a given context.
-
D.
isIlluminatedBy
Indicates that one entity receives light from, or is lit up by, another entity.
-
E.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695741ff88190bfa0318a7156b187 |
completed | May 3, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9 p.m.