Triple
T6303131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RH postcode area |
E141303
|
entity |
| Predicate | hasPostcodeAreaCode |
P920
|
FINISHED |
| Object | RH |
E457822
|
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: RH | Statement: [RH postcode area, hasPostcodeAreaCode, RH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RH Context triple: [RH postcode area, hasPostcodeAreaCode, RH]
-
A.
RH
chosen
RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
-
B.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
C.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
D.
RAH
RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
-
E.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645e150881908b49a07914dcbfd8 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e436e7ec8190a5ea470eb83ddaea |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:27 p.m.