Triple
T29023953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cacapon Station |
E737534
|
entity |
| Predicate | isAlternateNameFor |
P111098
|
FINISHED |
| Object | Great Cacapon |
—
|
NE NERFINISHED |
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: Great Cacapon | Statement: [Cacapon Station, isAlternateNameFor, Great Cacapon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlternateNameFor Context triple: [Cacapon Station, isAlternateNameFor, Great Cacapon]
-
A.
hasAlternativeNameForSameCity
Indicates that one city name is an alternative or variant name referring to the same city as another name.
-
B.
hasAlternativeFamilyName
Indicates that an entity is associated with an additional or variant family name besides its primary family name.
-
C.
isAliasOf
chosen
Indicates that one name, label, or identifier refers to the same entity as another.
-
D.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
E.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66007a5d8819085fcc6651a89a189 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:51 a.m.