Triple
T35397153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbane Building Company |
E1023111
|
entity |
| Predicate | hasNotableProjectCategory |
P60027
|
FINISHED |
| Object | major league sports venues |
—
|
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: major league sports venues | Statement: [Gilbane Building Company, hasNotableProjectCategory, major league sports venues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableProjectCategory Context triple: [Gilbane Building Company, hasNotableProjectCategory, major league sports venues]
-
A.
hasNotableProject
Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
-
B.
hasNotableWorkCategory
chosen
Indicates that an entity’s notable work belongs to, or is classified under, a particular category or type.
-
C.
hasNotabilityCategory
Indicates that an entity is associated with a particular category that characterizes its type or area of notability.
-
D.
hasNotableProjectLocation
Indicates that an entity has a significant or noteworthy project situated at a particular location.
-
E.
hasNotableWorkTheme
Indicates that there is a notable work whose central theme or subject matter is characterized by the related concept.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.