Triple
T1158173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khufu |
E24430
|
entity |
| Predicate | monumentType |
P25584
|
FINISHED |
| Object | pyramid builder |
—
|
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: pyramid builder | Statement: [Khufu, monumentType, pyramid builder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monumentType Context triple: [Khufu, monumentType, pyramid builder]
-
A.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
B.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
C.
heritageType
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
D.
monumentProclamationYear
Indicates the year in which a monument was officially proclaimed or designated as such.
-
E.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcab3cd08190ad06ea007042a8fc |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.