Triple
T22715518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frog Bridge (Thread City Crossing) |
E561721
|
entity |
| Predicate | numberOfFrogSculptures |
P22479
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Frog Bridge (Thread City Crossing), numberOfFrogSculptures, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFrogSculptures Context triple: [Frog Bridge (Thread City Crossing), numberOfFrogSculptures, 4]
-
A.
numberOfSculptures
chosen
Indicates the quantity of sculptures associated with a given entity or context.
-
B.
numberOfFountains
Indicates the quantitative relationship specifying how many fountains are associated with a given entity.
-
C.
numberOfPaintedSculptures
Indicates the quantity of sculptures that have been painted in a given context or collection.
-
D.
numberOfPonds
Indicates the count of ponds associated with a given entity or location.
-
E.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ca59881909064d49f331fb711 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:18 p.m.