Triple
T290599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biggin Hill |
E5982
|
entity |
| Predicate | postcodeArea |
P920
|
FINISHED |
| Object | TN |
E25576
|
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: TN | Statement: [Biggin Hill, postcodeArea, TN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TN Context triple: [Biggin Hill, postcodeArea, TN]
-
A.
TN
chosen
TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
-
B.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
C.
SN
SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
-
D.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
E.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4f78bc81909a64fd6aaec3b504 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a33be60481908016ef90c44498a7 |
completed | March 1, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.