Triple
T36855376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motta Sant’Anastasia |
E910778
|
entity |
| Predicate | hasNormanArchitecture |
P139972
|
FINISHED |
| Object | Norman castle of Motta Sant’Anastasia |
E2201766
|
NE 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: Norman castle of Motta Sant’Anastasia | Statement: [Motta Sant’Anastasia, hasNormanArchitecture, Norman castle of Motta Sant’Anastasia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNormanArchitecture Context triple: [Motta Sant’Anastasia, hasNormanArchitecture, Norman castle of Motta Sant’Anastasia]
-
A.
hasNumberOfHistoricBuildings
Indicates the quantity of historic buildings associated with a given entity.
-
B.
hasMedievalBuilding
chosen
Indicates that one entity possesses, contains, or includes a building dating from the medieval period.
-
C.
hasAngloSaxonMonument
Indicates that one entity possesses, contains, or is associated with a monument originating from or characteristic of the Anglo-Saxon period.
-
D.
hasOldTownArchitecture
Indicates that something features architectural characteristics typical of an old or historic town.
-
E.
hasArchitecturalSignificance
Indicates that something possesses notable architectural qualities, importance, or influence that make it worthy of special attention or recognition.
- F. None of above.
Provenance (4 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dfada34448190829b7168d6d29feb |
completed | June 26, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.