Triple
T1416764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Minquiers |
E31935
|
entity |
| Predicate | permanentResidents |
P27538
|
FINISHED |
| Object | very few or none |
—
|
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: very few or none | Statement: [Les Minquiers, permanentResidents, very few or none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentResidents Context triple: [Les Minquiers, permanentResidents, very few or none]
-
A.
grantedPermanentResidencyIn
Indicates that an authority has officially conferred permanent residency status to an entity within a specific country or jurisdiction.
-
B.
yearOfPermanentResidency
Indicates the specific year in which an entity began or was granted permanent residency in a particular place.
-
C.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
D.
returnOfResidents
Indicates the event or process in which residents come back to a place or community where they previously lived.
-
E.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c403ccdc8190b2a5fda037b6ea34 |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:59 p.m.