Triple
T12383576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An-Naba |
E295802
|
entity |
| Predicate | mentionsCreationOf |
P104677
|
FINISHED |
| Object | earth |
—
|
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: earth | Statement: [An-Naba, mentionsCreationOf, earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionsCreationOf Context triple: [An-Naba, mentionsCreationOf, earth]
-
A.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
B.
mentions
Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
-
C.
hasCreation
Indicates a relationship where one entity is the creator or originator of another entity.
-
D.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
E.
mentionsCreature
Indicates that one entity refers to or brings up a particular creature in some form of communication or content.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.