Triple
T18110138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EA 24 |
E433450
|
entity |
| Predicate | scriptArrangement |
P2362
|
FINISHED |
| Object | hieroglyphic at top, Demotic in middle, Greek at bottom |
—
|
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: hieroglyphic at top, Demotic in middle, Greek at bottom | Statement: [EA 24, scriptArrangement, hieroglyphic at top, Demotic in middle, Greek at bottom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptArrangement Context triple: [EA 24, scriptArrangement, hieroglyphic at top, Demotic in middle, Greek at bottom]
-
A.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
B.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
C.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
D.
commonlyArrangedFor
Indicates that one entity is typically organized, scheduled, or set up on behalf of another entity.
-
E.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd13cb48190bff06b472e34dd0e |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.