Triple
T29214496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleventh United States decennial census |
E740627
|
entity |
| Predicate | organizationTypeOfExecutor |
P177556
|
FINISHED |
| Object | temporary Census Office |
—
|
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: temporary Census Office | Statement: [Eleventh United States decennial census, organizationTypeOfExecutor, temporary Census Office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTypeOfExecutor Context triple: [Eleventh United States decennial census, organizationTypeOfExecutor, temporary Census Office]
-
A.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
organizationTypeOfHolder
Indicates that a specified organization serves as the type or category of the holder in the given relationship.
-
C.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
D.
organizationTypeLed
Indicates that an entity holds a leadership role over an organization of a specified type.
-
E.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 28, 2026, 12:12 p.m.