Triple
T14270125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Emporis Skyscraper Award 2nd place |
E353758
|
entity |
| Predicate | recipientStructureType |
P35429
|
FINISHED |
| Object | skyscraper |
—
|
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: skyscraper | Statement: [2011 Emporis Skyscraper Award 2nd place, recipientStructureType, skyscraper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recipientStructureType Context triple: [2011 Emporis Skyscraper Award 2nd place, recipientStructureType, skyscraper]
-
A.
organizationRecipient
Indicates that an organization is the recipient or beneficiary of something provided, sent, or directed by another entity.
-
B.
recipientSport
Indicates that one entity is the sport associated with, received by, or designated for another entity.
-
C.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
-
D.
receiverType
chosen
Indicates the category or classification of the entity that receives something (such as a message, resource, or action) in the relationship.
-
E.
notableRecipientType
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.