Triple
T11271666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Works of Antoni Gaudí |
E266826
|
entity |
| Predicate | hasComponentSiteType |
P98861
|
FINISHED |
| Object | residential building |
—
|
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: residential building | Statement: [Works of Antoni Gaudí, hasComponentSiteType, residential building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentSiteType Context triple: [Works of Antoni Gaudí, hasComponentSiteType, residential building]
-
A.
hasTypeSiteFor
Indicates that one entity serves as the specific site or location designated for a particular type or category of another entity.
-
B.
containsSite
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
C.
hasSiteGroup
Indicates that an entity is associated with or belongs to a particular site group.
-
D.
hasComponentStation
Indicates that an entity includes or is associated with a specific station as one of its component parts.
-
E.
hasCapitalSiteType
Indicates the type or classification of the site that serves as the capital for an entity.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.