Triple
T5291066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliteserien |
E119741
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Hovedserien
Hovedserien was the former top-tier Norwegian football league that preceded what is now known as the Eliteserien.
|
E508961
|
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: Hovedserien | Statement: [Eliteserien, formerName, Hovedserien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hovedserien Context triple: [Eliteserien, formerName, Hovedserien]
-
A.
Seri Perdana
Seri Perdana is the official residence complex of the Prime Minister of Malaysia, located in Putrajaya.
-
B.
Seri
The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
-
C.
Toppserien
Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
-
D.
Mode series
The Mode series is a science fiction/fantasy book series by Piers Anthony that explores parallel universes and alternate realities.
-
E.
Series H
Series H is a set of ITU-T telecommunications standards primarily focused on audiovisual and multimedia systems, including video coding and conferencing protocols.
- 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: Hovedserien Triple: [Eliteserien, formerName, Hovedserien]
Generated description
Hovedserien was the former top-tier Norwegian football league that preceded what is now known as the Eliteserien.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hovedserien Target entity description: Hovedserien was the former top-tier Norwegian football league that preceded what is now known as the Eliteserien.
-
A.
Seri Perdana
Seri Perdana is the official residence complex of the Prime Minister of Malaysia, located in Putrajaya.
-
B.
Seri
The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
-
C.
Toppserien
Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
-
D.
Mode series
The Mode series is a science fiction/fantasy book series by Piers Anthony that explores parallel universes and alternate realities.
-
E.
Series H
Series H is a set of ITU-T telecommunications standards primarily focused on audiovisual and multimedia systems, including video coding and conferencing protocols.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eac7b88190900142bd1310c0fd |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06f066988190a3df7e270df84fdd |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf09fd3dc48190be94a4b5b1f32dc6 |
completed | March 21, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a8c90888190bd7cc6d940b62cd1 |
completed | March 21, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.