Triple
T5777341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narmer Macehead |
E127475
|
entity |
| Predicate | hasInferredPurpose |
P4466
|
FINISHED |
| Object | commemoration of a royal event |
—
|
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: commemoration of a royal event | Statement: [Narmer Macehead, hasInferredPurpose, commemoration of a royal event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInferredPurpose Context triple: [Narmer Macehead, hasInferredPurpose, commemoration of a royal event]
-
A.
hasReconstructionPurpose
Indicates that something exists or is performed with the specific aim or function of reconstruction (e.g., rebuilding, restoring, or re-creating something).
-
B.
usedToInfer
chosen
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
-
C.
hasProtectionPurpose
Indicates that something is intended or designed to serve a protective function or goal.
-
D.
isMultiPurpose
Indicates that something is designed or used to serve multiple functions or purposes rather than a single, specialized one.
-
E.
hasOriginalEndowmentPurpose
Indicates that an entity’s original endowment is intended or designated to serve a specific purpose or function.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.