Triple
T2392210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Panecillo |
E48967
|
entity |
| Predicate | hasNightView |
P30374
|
FINISHED |
| Object | illuminated cityscape of Quito |
—
|
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: illuminated cityscape of Quito | Statement: [El Panecillo, hasNightView, illuminated cityscape of Quito]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightView Context triple: [El Panecillo, hasNightView, illuminated cityscape of Quito]
-
A.
hasNightVision
Indicates that an entity possesses the ability to see effectively in low-light or dark conditions.
-
B.
isIlluminatedAtNight
chosen
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
C.
hasViewingSide
Indicates that one entity serves as the side or surface of another entity that is intended to be viewed or observed.
-
D.
nightService
Indicates that a service operates or is available during nighttime hours.
-
E.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87587708190a7f2bc473a898bc2 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.