Triple
T14430142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenilworth Road |
E357802
|
entity |
| Predicate | hasClubOffices |
P19057
|
FINISHED |
| Object | Luton Town F.C. administrative offices (on site or adjacent) |
—
|
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: Luton Town F.C. administrative offices (on site or adjacent) | Statement: [Kenilworth Road, hasClubOffices, Luton Town F.C. administrative offices (on site or adjacent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubOffices Context triple: [Kenilworth Road, hasClubOffices, Luton Town F.C. administrative offices (on site or adjacent)]
-
A.
hasOfficeCluster
Indicates that an entity is associated with or belongs to a specific group or cluster of office locations.
-
B.
hasGlobalOffices
Indicates that an entity maintains offices or physical business locations in multiple countries or regions around the world.
-
C.
hasSupportingOffice
Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
-
D.
hasBranchOffice
Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
-
E.
hasAssociatedOffice
chosen
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.