Triple
T7001203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet in Poland |
E162339
|
entity |
| Predicate | hasIXP |
P73514
|
FINISHED |
| Object |
Thinx Poland
Thinx Poland is a major Polish internet exchange point (IXP) that facilitates high-speed interconnection and traffic exchange between networks operating in Poland and the wider region.
|
E634652
|
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: Thinx Poland | Statement: [Internet in Poland, hasIXP, Thinx Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thinx Poland Context triple: [Internet in Poland, hasIXP, Thinx Poland]
-
A.
Tena
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
-
B.
Sheex
Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
-
C.
Wacoal
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
-
D.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
E.
Pashons
Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
- 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: Thinx Poland Triple: [Internet in Poland, hasIXP, Thinx Poland]
Generated description
Thinx Poland is a major Polish internet exchange point (IXP) that facilitates high-speed interconnection and traffic exchange between networks operating in Poland and the wider region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thinx Poland Target entity description: Thinx Poland is a major Polish internet exchange point (IXP) that facilitates high-speed interconnection and traffic exchange between networks operating in Poland and the wider region.
-
A.
Tena
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
-
B.
Sheex
Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
-
C.
Wacoal
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
-
D.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
E.
Pashons
Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d144648190b7e6558246b013e3 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b1d881481908ef5a6614246ca1e |
completed | March 28, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76be95ecc8190a57ff197f236d434 |
completed | March 28, 2026, 5:49 a.m. |
Created at: March 27, 2026, 2:33 p.m.