Triple
T9122107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle Local Municipality |
E218877
|
entity |
| Predicate | hasMunicipalCode |
P3943
|
FINISHED |
| Object |
KZN252
KZN252 is the official municipal code assigned to the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
|
E779589
|
NE FINISHED |
How this triple was built (4 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: KZN252 | Statement: [Newcastle Local Municipality, hasMunicipalCode, KZN252]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KZN252 Context triple: [Newcastle Local Municipality, hasMunicipalCode, KZN252]
-
A.
Z 22500
Z 22500 is a class of French double-deck electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
-
B.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
C.
ZA-NC
ZA-NC is the ISO 3166-2 code that designates South Africa’s Northern Cape province.
-
D.
^N225
^N225 is the ticker symbol for the Nikkei 225, a major stock market index tracking 225 leading companies listed on the Tokyo Stock Exchange.
-
E.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KZN252 Triple: [Newcastle Local Municipality, hasMunicipalCode, KZN252]
Generated description
KZN252 is the official municipal code assigned to the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KZN252 Target entity description: KZN252 is the official municipal code assigned to the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
-
A.
Z 22500
Z 22500 is a class of French double-deck electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
-
B.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
C.
ZA-NC
ZA-NC is the ISO 3166-2 code that designates South Africa’s Northern Cape province.
-
D.
^N225
^N225 is the ticker symbol for the Nikkei 225, a major stock market index tracking 225 leading companies listed on the Tokyo Stock Exchange.
-
E.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
- F. None of above. chosen
Provenance (5 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b46dac8190bde88205c85f596a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0308ff628819083f02bf71eb40c5b |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d0318ef52c8190bfa0bef6a8d41daa |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03571c4648190bd546152c61c55a5 |
completed | April 3, 2026, 9:47 p.m. |
Created at: March 30, 2026, 7:17 p.m.