Triple
T99075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lord of the Treasury |
E1998
|
entity |
| Predicate | hasOfficialInsigniaLocation |
P4762
|
FINISHED |
| Object | 10 Downing Street front door |
—
|
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: 10 Downing Street front door | Statement: [First Lord of the Treasury, hasOfficialInsigniaLocation, 10 Downing Street front door]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialInsigniaLocation Context triple: [First Lord of the Treasury, hasOfficialInsigniaLocation, 10 Downing Street front door]
-
A.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
B.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
C.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
D.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
E.
pennantNumber
Indicates the identifying pennant number assigned to a ship or naval vessel.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a253b869448190bd75a3542806b36c |
completed | Feb. 28, 2026, 2:32 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.