Triple
T26800429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathcart |
E671082
|
entity |
| Predicate | hasPlaceName |
P158147
|
FINISHED |
| Object | Cathcart, Glasgow, Scotland |
—
|
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: Cathcart, Glasgow, Scotland | Statement: [Cathcart, hasPlaceName, Cathcart, Glasgow, Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaceName Context triple: [Cathcart, hasPlaceName, Cathcart, Glasgow, Scotland]
-
A.
hasPlaceNamesIn
Indicates that something contains, references, or is associated with one or more place names within it.
-
B.
hasPlaceNamesakeIn
Indicates that something is named after a particular place or location.
-
C.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
D.
hasExamplePlaceName
chosen
Indicates that an entity is associated with a specific place name used as an example.
-
E.
hasNotableToponym
Indicates that an entity is associated with a place name that is particularly notable, distinctive, or significant.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 4:22 a.m.