Triple
T6958410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadi el-Hol inscriptions |
E161304
|
entity |
| Predicate | alphabeticStatus |
P73768
|
FINISHED |
| Object | early consonantal alphabetic writing |
—
|
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: early consonantal alphabetic writing | Statement: [Wadi el-Hol inscriptions, alphabeticStatus, early consonantal alphabetic writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alphabeticStatus Context triple: [Wadi el-Hol inscriptions, alphabeticStatus, early consonantal alphabetic writing]
-
A.
alphabetType
Indicates the type or classification of an alphabet used by a writing system or language.
-
B.
alphabeticCode
Indicates that one entity is identified or represented by a specific alphabetic code assigned to it.
-
C.
alphabet
Indicates that one entity is an alphabet or set of symbols used for representing elements (such as characters or tokens) in relation to another entity.
-
D.
usesAlphabet
Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
-
E.
letterOrNumberDesignation
Indicates that something is identified or labeled using a specific letter, number, or combination of both.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dad240ac8190808014a5b4920b41 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d9bb57e88190a3a7cec34e3b617f |
completed | March 27, 2026, 7:25 p.m. |
Created at: March 27, 2026, 2:29 p.m.