Triple
T9347626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sallah |
E224931
|
entity |
| Predicate | helpsProtagonistNavigate |
P49758
|
FINISHED |
| Object | Dangerous archaeological sites |
—
|
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: Dangerous archaeological sites | Statement: [Sallah, helpsProtagonistNavigate, Dangerous archaeological sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsProtagonistNavigate Context triple: [Sallah, helpsProtagonistNavigate, Dangerous archaeological sites]
-
A.
helpsProtagonistWith
chosen
Indicates that one entity assists the protagonist in performing, achieving, or dealing with something specified by the other entity.
-
B.
navigationProblemAddressed
Indicates that a navigation-related issue, obstacle, or challenge has been identified and dealt with or resolved.
-
C.
mainProtagonist
Indicates that the subject is the central character or primary focus in the narrative of the related work.
-
D.
helpsCharacterConfront
Indicates that one character actively supports or enables another character in facing and dealing with a difficult issue, fear, or challenge.
-
E.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0f4c4c8190a94c0d44ef349d7d |
completed | April 1, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.