Triple
T18707324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grue |
E457404
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Namnå
Namnå is a small village in Grue Municipality in Innlandet county, Norway.
|
E1339068
|
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: Namnå | Statement: [Grue, hasSettlement, Namnå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namnå Context triple: [Grue, hasSettlement, Namnå]
-
A.
Namin
Namin is a city in Iran known for its location in the mountainous, historically rich Ardabil region in the northwest of the country.
-
B.
Namnetes
The Namnetes were an ancient Celtic tribe of western Gaul, associated with the region around modern Nantes in present-day France.
-
C.
Namanve
Namanve is an industrial and commercial area in central Uganda known for hosting the Kampala Industrial and Business Park and various manufacturing facilities.
-
D.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
-
E.
Nanneella
Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
- 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: Namnå Triple: [Grue, hasSettlement, Namnå]
Generated description
Namnå is a small village in Grue Municipality in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namnå Target entity description: Namnå is a small village in Grue Municipality in Innlandet county, Norway.
-
A.
Namin
Namin is a city in Iran known for its location in the mountainous, historically rich Ardabil region in the northwest of the country.
-
B.
Namnetes
The Namnetes were an ancient Celtic tribe of western Gaul, associated with the region around modern Nantes in present-day France.
-
C.
Namanve
Namanve is an industrial and commercial area in central Uganda known for hosting the Kampala Industrial and Business Park and various manufacturing facilities.
-
D.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
-
E.
Nanneella
Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b3a95888190b09328d459164071 |
completed | May 14, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a052dec70cc8190b66909ce6225b2bb |
completed | May 14, 2026, 2:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052edba614819084d818fe1cc84ca4 |
completed | May 14, 2026, 2:09 a.m. |
Created at: April 10, 2026, 11:50 a.m.