Triple
T10993742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nefertiti Bust |
E259810
|
entity |
| Predicate | hasMissingPart |
P20100
|
FINISHED |
| Object | left eye inlay |
—
|
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: left eye inlay | Statement: [Nefertiti Bust, hasMissingPart, left eye inlay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMissingPart Context triple: [Nefertiti Bust, hasMissingPart, left eye inlay]
-
A.
hasMissingPortions
chosen
Indicates that an entity is incomplete because some of its expected parts or sections are absent.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
D.
hasPartUsed
Indicates that an entity utilizes another entity as a component or constituent part in its structure, function, or operation.
-
E.
hasMissingEpisode
Indicates that an entity (such as a series or season) is associated with one or more episodes that are absent or not available.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d460d88190bff918d6dfdb0f93 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.