Triple
T2051058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beersheba |
E45567
|
entity |
| Predicate | hasEtymologyMeaning |
P15774
|
FINISHED |
| Object | well of the oath |
—
|
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: well of the oath | Statement: [Beersheba, hasEtymologyMeaning, well of the oath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEtymologyMeaning Context triple: [Beersheba, hasEtymologyMeaning, well of the oath]
-
A.
etymologyPossibleMeaning
chosen
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
-
B.
etymologyStatus
Indicates the status or reliability classification of an etymological explanation for a term or name.
-
C.
etymologicalRootMeaning
Indicates that one term’s meaning originates from or is derived from the historical or original meaning of another term.
-
D.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
E.
etymologicalLanguage
Indicates the language from which a word or term is historically derived in its etymology.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98f5f4881908d9aa0f10be44041 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.