Triple
T32371443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E313 motorway |
E827147
|
entity |
| Predicate | formerNationalNumber |
P200149
|
FINISHED |
| Object | A13 |
—
|
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: A13 | Statement: [E313 motorway, formerNationalNumber, A13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNationalNumber Context triple: [E313 motorway, formerNationalNumber, A13]
-
A.
nationalPrefixForDomesticCalls
Indicates the dialing prefix that must be used when making domestic telephone calls within a given country or numbering plan.
-
B.
previousNationalNumberLengths
Indicates that an entity previously used one or more specific lengths for its national (telephone) numbers before a change or update.
-
C.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
-
D.
telephoneSystemCountry
Indicates that a telephone system operates within, or is associated with, a specific country.
-
E.
numericCountryCode
Indicates that a country is associated with a specific numeric code that uniquely identifies it.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69ff779d3d788190af5a2dbc4d7ca3c8 |
completed | May 9, 2026, 6:06 p.m. |
Created at: May 1, 2026, 12:50 a.m.