Triple
T12274649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead Woman’s Pass |
E292557
|
entity |
| Predicate | localNameMeaning |
P1966
|
FINISHED |
| Object | Dead Woman |
—
|
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: Dead Woman | Statement: [Dead Woman’s Pass, localNameMeaning, Dead Woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNameMeaning Context triple: [Dead Woman’s Pass, localNameMeaning, Dead Woman]
-
A.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
B.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
-
C.
alternativeNameMeaning
Indicates that one entity expresses the meaning or interpretation of an alternative name used for another entity.
-
D.
officialNameMeaning
Indicates the semantic meaning or etymological significance conveyed by an entity’s official name.
-
E.
meaningOfNativeName
chosen
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.