Triple
T37567918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifth Avenue (5ta Avenida) in Havana |
E934009
|
entity |
| Predicate | notableTypeOfBuildingAlong |
P137964
|
FINISHED |
| Object | embassy buildings |
—
|
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: embassy buildings | Statement: [Fifth Avenue (5ta Avenida) in Havana, notableTypeOfBuildingAlong, embassy buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTypeOfBuildingAlong Context triple: [Fifth Avenue (5ta Avenida) in Havana, notableTypeOfBuildingAlong, embassy buildings]
-
A.
notableConstructionCenter
Indicates that a place serves as a significant hub or focal point for construction activity or construction-related operations.
-
B.
notableBuildingAssociated
Indicates a relationship where a notable or significant building is associated with, connected to, or relevant to a given entity.
-
C.
buildingNamed
Indicates that a particular building is known or referred to by a specified name.
-
D.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
E.
notableSiteType
chosen
Indicates that a site is notable specifically for being of a particular type or category (e.g., a notable example of that kind of site).
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.