Triple
T16407283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramesses IV |
E398466
|
entity |
| Predicate | commissionedMonuments |
P25270
|
FINISHED |
| Object | temple works at Karnak |
—
|
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: temple works at Karnak | Statement: [Ramesses IV, commissionedMonuments, temple works at Karnak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionedMonuments Context triple: [Ramesses IV, commissionedMonuments, temple works at Karnak]
-
A.
otherMonuments
Indicates that there exists a relationship between an entity and additional monuments that are associated with or related to it in some relevant way.
-
B.
hasCommemorativeStructure
Indicates that one entity possesses or is associated with a physical structure created to honor, remember, or commemorate another entity or event.
-
C.
builtMonument
chosen
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
-
D.
monumentDepicts
Indicates that a monument visually represents, portrays, or is dedicated to a particular person, event, concept, or object.
-
E.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d36b808190b6b8c412ae0d2faa |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.