Triple
T3207543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace of Earthly Tranquility |
E67199
|
entity |
| Predicate | positionWithinForbiddenCity |
P46178
|
FINISHED |
| Object | northern part of the Inner Court |
—
|
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: northern part of the Inner Court | Statement: [Palace of Earthly Tranquility, positionWithinForbiddenCity, northern part of the Inner Court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinForbiddenCity Context triple: [Palace of Earthly Tranquility, positionWithinForbiddenCity, northern part of the Inner Court]
-
A.
locatedInFortress
Indicates that an entity is situated within the boundaries or interior of a fortress.
-
B.
hasLandmarkAtEntrance
Indicates that a specific landmark is located at or directly adjacent to the entrance of something.
-
C.
locatedInAncientCity
Indicates that an entity is situated within the boundaries or domain of an ancient city.
-
D.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
-
E.
isLocatedInDiplomaticQuarter
Indicates that one entity is situated within or belongs to the designated diplomatic quarter area.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa58340881908347d772cfa0ac4c |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.