Triple
T32837428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollókő Old Village and its Surroundings |
E839872
|
entity |
| Predicate | numberOfProtectedHouses |
P1264
|
FINISHED |
| Object | approximately 55 |
—
|
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: approximately 55 | Statement: [Hollókő Old Village and its Surroundings, numberOfProtectedHouses, approximately 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProtectedHouses Context triple: [Hollókő Old Village and its Surroundings, numberOfProtectedHouses, approximately 55]
-
A.
numberOfHouses
chosen
Indicates the quantity of houses associated with a given entity or context.
-
B.
hasNumberOfHouses
Indicates the quantity of houses associated with a given entity.
-
C.
numberOfInletsProtected
Indicates the quantity of inlets that are safeguarded or protected by the specified object or system.
-
D.
numberOfMainHouses
Indicates the quantity of primary or main residential houses associated with an entity.
-
E.
numberOfMansions
Indicates the quantity of mansions associated with a given 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0207a1272c81909dcdb6e3307702f5 |
completed | May 11, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a0205fa1e608190829fd2baa0434fff |
completed | May 11, 2026, 4:38 p.m. |
Created at: May 1, 2026, 1:16 a.m.