Triple
T4360805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bin Abdullah |
E98654
|
entity |
| Predicate | etymologyOfAbdullah |
P453
|
FINISHED |
| Object | servant of Allah |
—
|
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: servant of Allah | Statement: [bin Abdullah, etymologyOfAbdullah, servant of Allah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologyOfAbdullah Context triple: [bin Abdullah, etymologyOfAbdullah, servant of Allah]
-
A.
etymologyReason
Indicates the reason, source, or origin explaining how or why a term acquired its particular etymology.
-
B.
etymologyPossibleMeaning
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
-
C.
etymology
chosen
Indicates the historical origin and development of a word or term, including its source language and form.
-
D.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
E.
etymologyRelatesTo
Indicates a relationship where one term’s origin, history, or derivation is connected to another linguistic form, word, or source.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e3220881909dc9d02ab024abf5 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.