Triple
T22084663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS OpenData |
E545740
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
OS Strategi
OS Strategi is a detailed vector mapping product from Ordnance Survey that provides comprehensive large-scale geographic data for use in planning, analysis, and geographic information systems.
|
E1517282
|
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: OS Strategi | Statement: [OS OpenData, hasPart, OS Strategi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OS Strategi Context triple: [OS OpenData, hasPart, OS Strategi]
-
A.
Os
Os is a village in Vestland county, Norway, known as a local commercial and cultural hub along the Bjørnafjorden.
-
B.
OPSK
OPSK is the ICAO airport code assigned to Sukkur Airport in Pakistan.
-
C.
OS
OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
-
D.
OS
OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
-
E.
OS
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
- 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: OS Strategi Triple: [OS OpenData, hasPart, OS Strategi]
Generated description
OS Strategi is a detailed vector mapping product from Ordnance Survey that provides comprehensive large-scale geographic data for use in planning, analysis, and geographic information systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OS Strategi Target entity description: OS Strategi is a detailed vector mapping product from Ordnance Survey that provides comprehensive large-scale geographic data for use in planning, analysis, and geographic information systems.
-
A.
Os
Os is a village in Vestland county, Norway, known as a local commercial and cultural hub along the Bjørnafjorden.
-
B.
OPSK
OPSK is the ICAO airport code assigned to Sukkur Airport in Pakistan.
-
C.
OS
OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
-
D.
OS
OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
-
E.
OS
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b95e908190bd846f531eb59b50 |
completed | April 28, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80bd85708190ba4217a96588a52a |
completed | May 18, 2026, 3 a.m. |
| NEDg | Description generation | batch_6a0a8165238c81909f53f0c96ceda4dc |
completed | May 18, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a826075988190a7148ded16f779c0 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 8:29 p.m.