Triple
T15556381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawara |
E370879
|
entity |
| Predicate | hasMaterialFind |
P78356
|
FINISHED |
| Object | painted mummy portraits |
—
|
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: painted mummy portraits | Statement: [Hawara, hasMaterialFind, painted mummy portraits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialFind Context triple: [Hawara, hasMaterialFind, painted mummy portraits]
-
A.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
B.
materialFound
chosen
Indicates that a particular material is present, discovered, or detected in association with a specified entity or location.
-
C.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
hasMaterialNearby
Indicates that one entity has a material located in its immediate vicinity or surrounding area.
-
E.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:09 a.m.