Triple
T4071159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Ward |
E86649
|
entity |
| Predicate | positionWithinCastle |
P53325
|
FINISHED |
| Object | central section |
—
|
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: central section | Statement: [Middle Ward, positionWithinCastle, central section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinCastle Context triple: [Middle Ward, positionWithinCastle, central section]
-
A.
hasCastle
Indicates that one entity possesses, controls, or contains a castle.
-
B.
locatedInFortress
Indicates that an entity is situated within the boundaries or interior of a fortress.
-
C.
eraOfMainCastle
Indicates the historical period or era during which the main castle associated with an entity was built, used, or most prominent.
-
D.
positionRelativeToTower
Indicates the spatial relationship or placement of an entity with respect to a specified tower.
-
E.
castleOverlooks
Indicates that a castle is positioned so that it has a clear, elevated view over a particular area, object, or landscape.
- F. None of above. chosen
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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc1f6d9c8190845d2fcd15fcdfd6 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa5c52648190b001027f4dba75cb |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:38 p.m.