Triple
T7631913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Castillo |
E172776
|
entity |
| Predicate | hasInteriorStructure |
P22287
|
FINISHED |
| Object | earlier pyramid inside |
—
|
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: earlier pyramid inside | Statement: [El Castillo, hasInteriorStructure, earlier pyramid inside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorStructure Context triple: [El Castillo, hasInteriorStructure, earlier pyramid inside]
-
A.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
B.
hasEmptyInterior
Indicates that the interior of an entity is completely hollow or contains no material.
-
C.
internalStructure
chosen
Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
-
D.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
E.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa4d2808190942129110711788b |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.