Triple
T15284427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pass Christian |
E365356
|
entity |
| Predicate | hasBuildingCodeConcern |
P117949
|
FINISHED |
| Object | hurricane-resistant construction |
—
|
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: hurricane-resistant construction | Statement: [Pass Christian, hasBuildingCodeConcern, hurricane-resistant construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingCodeConcern Context triple: [Pass Christian, hasBuildingCodeConcern, hurricane-resistant construction]
-
A.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
B.
followsBuildingCode
Indicates that one entity complies with or adheres to the building code standards established by another governing authority or regulatory framework.
-
C.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
D.
hasBuildingFrom
Indicates a relationship where a location or site possesses or includes a building that originates from, or was constructed in, a specified time period, source, or context.
-
E.
hasBuildingComponent
Indicates that one entity includes, contains, or is composed of another entity as a physical building component.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:15 a.m.