Triple
T4446307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Østfold |
E96296
|
entity |
| Predicate | ISOCode |
P208
|
FINISHED |
| Object |
NO-01
NO-01 is the ISO 3166-2 code assigned to Østfold, a former county in southeastern Norway.
|
E439026
|
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: NO-01 | Statement: [Østfold, ISOCode, NO-01]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NO-01 Context triple: [Østfold, ISOCode, NO-01]
-
A.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
B.
NOL
NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
-
C.
No7
No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
-
D.
NOC
NOC is the stock ticker symbol for Northrop Grumman Corporation, a major American aerospace and defense technology company.
-
E.
UNOV
UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
- 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: NO-01 Triple: [Østfold, ISOCode, NO-01]
Generated description
NO-01 is the ISO 3166-2 code assigned to Østfold, a former county in southeastern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NO-01 Target entity description: NO-01 is the ISO 3166-2 code assigned to Østfold, a former county in southeastern Norway.
-
A.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
B.
NOL
NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
-
C.
No7
No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
-
D.
NOC
NOC is the stock ticker symbol for Northrop Grumman Corporation, a major American aerospace and defense technology company.
-
E.
UNOV
UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61464b0dc81909cab007115435b8b |
completed | March 15, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6151440648190bf8c1c95e20caf13 |
completed | March 15, 2026, 2:10 a.m. |
Created at: March 12, 2026, 11:32 p.m.