Triple
T11705718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnington Castle |
E278230
|
entity |
| Predicate | numberOfTowersOriginally |
P43196
|
FINISHED |
| Object | six |
—
|
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: six | Statement: [Donnington Castle, numberOfTowersOriginally, six]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTowersOriginally Context triple: [Donnington Castle, numberOfTowersOriginally, six]
-
A.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
B.
storeysOfTallestTower
Indicates the number of storeys contained in the tallest tower associated with the given context or entity.
-
C.
towerCount
chosen
Indicates the number of towers associated with or present in a given entity or context.
-
D.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
E.
storeysOfSecondTower
Indicates the number of storeys (floors) that the second tower in a given context has.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49c8c38819083d83f5fdec52b7f |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.