Triple
T15761344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winwick |
E382103
|
entity |
| Predicate | hasPostcodeArea |
P920
|
FINISHED |
| Object | WA |
E118488
|
NE 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: WA | Statement: [Winwick, hasPostcodeArea, WA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WA Context triple: [Winwick, hasPostcodeArea, WA]
-
A.
WA
WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
-
B.
WA
chosen
WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
-
C.
WA
WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
-
D.
WA
WA is the commonly used abbreviation for Worcester Academy, a private college-preparatory school in Worcester, Massachusetts.
-
E.
WA
WA is the commonly used abbreviation for World Archery, the international governing body for the sport of archery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b52c548190a0ffa4493a4eb15c |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8774eda08190a6231b4fd5027e6f |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.