Triple
T15919376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit Sablon |
E386052
|
entity |
| Predicate | hasStatueCount |
P22479
|
FINISHED |
| Object | 48 perimeter statues |
—
|
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: 48 perimeter statues | Statement: [Petit Sablon, hasStatueCount, 48 perimeter statues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatueCount Context triple: [Petit Sablon, hasStatueCount, 48 perimeter statues]
-
A.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
B.
hasStatueOrigin
Indicates that a statue was created in, derived from, or originally located in a specified place or source.
-
C.
numberOfSculptures
chosen
Indicates the quantity of sculptures associated with a given entity or context.
-
D.
hasStatueNickname
Indicates that an entity (typically a statue) is known or referred to by a particular nickname.
-
E.
topStatue
Indicates that one entity is positioned as a statue on top of another entity.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.