Triple
T16999910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampstead and Kilburn |
E412413
|
entity |
| Predicate | hasSignificantIrishCommunity |
P126114
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hampstead and Kilburn, hasSignificantIrishCommunity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantIrishCommunity Context triple: [Hampstead and Kilburn, hasSignificantIrishCommunity, yes]
-
A.
containsGaeltachtArea
Indicates that a region or administrative area includes within its boundaries a Gaeltacht area where Irish is traditionally spoken.
-
B.
IrishSignatory
Indicates that an entity is a signer or ratifying party from Ireland to a specified agreement, document, or treaty.
-
C.
leftIreland
Indicates that an entity departed from or moved away from Ireland.
-
D.
hasSignificantRomanCatholicPopulation
Indicates that a place or group has a notably large proportion of its population adhering to the Roman Catholic faith.
-
E.
IrishOutcome
Indicates that an event, action, or process results in an outcome specifically associated with Ireland or Irish contexts.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.