Triple
T6466809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deir Alla dialect |
E142251
|
entity |
| Predicate | hasCorpusStatus |
P18537
|
FINISHED |
| Object | known only from inscriptions |
—
|
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: known only from inscriptions | Statement: [Deir Alla dialect, hasCorpusStatus, known only from inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorpusStatus Context triple: [Deir Alla dialect, hasCorpusStatus, known only from inscriptions]
-
A.
hasCorpusType
Indicates the type or category of corpus associated with an entity (e.g., text, speech, multimodal).
-
B.
hasPartOfCorpus
Indicates that one entity constitutes a component or segment of the overall corpus associated with another entity.
-
C.
hasNotableCorpus
Indicates that an entity possesses a significant, well-recognized body of work, texts, or collected materials associated with it.
-
D.
hasDocumentationStatus
Indicates the current state or condition of documentation associated with an entity, such as whether it exists, is complete, or is up to date.
-
E.
hasLimitedCorpus
chosen
Indicates that the associated entity possesses only a small or restricted set of available data, texts, or examples for use or analysis.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a12ccf481908f71f888cd744b64 |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.