Triple
T31852833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella d’Italia |
E813111
|
entity |
| Predicate | hasPointCount |
P7181
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Stella d’Italia, hasPointCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPointCount Context triple: [Stella d’Italia, hasPointCount, 5]
-
A.
hasNumberOfPoints
chosen
Indicates that an entity is associated with a specific count of points it possesses or comprises.
-
B.
hasPointGraph
Indicates that there exists a point-based graphical representation associated with the given entity.
-
C.
hasPointsPerLine
Indicates that each line in a given context is associated with a specific number of points.
-
D.
hasKPoint
Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
-
E.
hasIntegralPoints
Indicates that a geometric or mathematical object possesses one or more points whose coordinates are all integers.
- 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 30, 2026, 11:51 p.m.