Triple
T6794096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Albans Cathedral |
E156007
|
entity |
| Predicate | cityStatusRelationship |
P73028
|
FINISHED |
| Object | gives its name to the city of St Albans |
—
|
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: gives its name to the city of St Albans | Statement: [St Albans Cathedral, cityStatusRelationship, gives its name to the city of St Albans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityStatusRelationship Context triple: [St Albans Cathedral, cityStatusRelationship, gives its name to the city of St Albans]
-
A.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
B.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
C.
typeOfMunicipalRelationship
Indicates a formal type or category of administrative or cooperative relationship that exists between municipalities.
-
D.
hasSisterCityRelationshipType
Indicates a formal sister-city partnership relationship that exists between two municipalities or cities.
-
E.
isNeighboringCityOf
Indicates that one city is geographically adjacent to or directly borders another city.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1b0d2a48190b249dcc671b9b5e4 |
completed | March 27, 2026, 6:51 p.m. |
Created at: March 27, 2026, 2:15 p.m.