Triple
T580190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Moneda Palace |
E15038
|
entity |
| Predicate | hasUndergroundComplex |
P15152
|
FINISHED |
| Object | La Moneda Palace bunker |
—
|
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: La Moneda Palace bunker | Statement: [La Moneda Palace, hasUndergroundComplex, La Moneda Palace bunker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergroundComplex Context triple: [La Moneda Palace, hasUndergroundComplex, La Moneda Palace bunker]
-
A.
hasUndergroundSection
chosen
Indicates that an entity includes a portion or segment that is located below ground level.
-
B.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
C.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
-
D.
hasEntranceStructure
Indicates that one entity possesses or is associated with a specific physical structure that serves as its entrance.
-
E.
hasSeparateEntrances
Indicates that the related entities each have their own distinct entrance, rather than sharing a common one.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b82b5248190ac863407e8207a3b |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c7f9008190bd8d05b4dc2a7c7f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.