Triple
T32099537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Myth of Anzû |
E819804
|
entity |
| Predicate | tabletForm |
P173562
|
FINISHED |
| Object | cuneiform tablets |
—
|
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: cuneiform tablets | Statement: [The Myth of Anzû, tabletForm, cuneiform tablets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tabletForm Context triple: [The Myth of Anzû, tabletForm, cuneiform tablets]
-
A.
targetFormFactor
Indicates the specific physical configuration or design format that something is intended to be used with or fit into.
-
B.
tabletArchiveType
Indicates the archival category or method assigned to a tablet within a storage or record-keeping system.
-
C.
tabletCount
Indicates the number of tablets associated with or allocated to a given entity or context.
-
D.
deviceShape
Indicates that one entity has the physical form or geometric configuration specified by the other entity.
-
E.
occursInTablet
Indicates that an event, statement, or item is recorded or found within a specific tablet.
- F. None of above. chosen
Provenance (4 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b647a7a88190aeef1b9b1e2d5f3b |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:26 a.m.