Triple
T2877872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark-on-Trent |
E56921
|
entity |
| Predicate | castleCondition |
P25131
|
FINISHED |
| Object | ruined |
—
|
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: ruined | Statement: [Newark-on-Trent, castleCondition, ruined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castleCondition Context triple: [Newark-on-Trent, castleCondition, ruined]
-
A.
castleOverlooks
Indicates that a castle is positioned so that it has a clear, elevated view over a particular area, object, or landscape.
-
B.
hasCastle
Indicates that one entity possesses, controls, or contains a castle.
-
C.
castleBuiltFor
Indicates that a castle was constructed specifically for the benefit, use, or commission of a particular person, group, or purpose.
-
D.
buildingCondition
chosen
Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
-
E.
castleLaterOwnedBy
Indicates that ownership of a castle passed to a specified entity at a later time than the initial or previously recorded owner.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe007329c8190b0bc1851c7307124 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.