Triple
T5132164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Gilboa |
E115725
|
entity |
| Predicate | describedInTextAs |
P519
|
FINISHED |
| Object | place where no dew or rain should fall (David’s lament) |
—
|
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: place where no dew or rain should fall (David’s lament) | Statement: [Mount Gilboa, describedInTextAs, place where no dew or rain should fall (David’s lament)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedInTextAs Context triple: [Mount Gilboa, describedInTextAs, place where no dew or rain should fall (David’s lament)]
-
A.
describedIn
chosen
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
B.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
-
C.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
E.
styleDescribedAs
Indicates that the manner, aesthetic, or mode of something is characterized or labeled using a particular style description.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:42 p.m.