Triple
T33585490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kheperkara |
E860266
|
entity |
| Predicate | usedOnBuildingProjectsOf |
P98920
|
FINISHED |
| Object | Senusret I |
—
|
NE NERFINISHED |
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: Senusret I | Statement: [Kheperkara, usedOnBuildingProjectsOf, Senusret I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnBuildingProjectsOf Context triple: [Kheperkara, usedOnBuildingProjectsOf, Senusret I]
-
A.
usedOnBuildingOf
chosen
Indicates that something is applied to, installed on, or otherwise utilized on the structure of a particular building.
-
B.
usedInProject
Indicates that something (such as a resource, tool, or component) is employed or utilized within a particular project.
-
C.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
D.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
-
E.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:40 a.m.