Triple
T19481512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordoostpolder |
E487394
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Lemmer
Lemmer is a historic waterside town in the Dutch province of Friesland, known for its boating, tourism, and location on the IJsselmeer.
|
E1378950
|
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: Lemmer | Statement: [Noordoostpolder, borderedBy, Lemmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lemmer Context triple: [Noordoostpolder, borderedBy, Lemmer]
-
A.
Blauwestad
Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
-
B.
Ermelo
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
-
C.
Ermelo
Ermelo is a town in the province of Gelderland in the central Netherlands, known for its location near the Veluwe forests and heathlands.
-
D.
Groblershoop
Groblershoop is a small town in South Africa’s Northern Cape province, known as an agricultural center in the Orange River wine and grape-growing region.
-
E.
Keetmanshoop
Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
- 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: Lemmer Triple: [Noordoostpolder, borderedBy, Lemmer]
Generated description
Lemmer is a historic waterside town in the Dutch province of Friesland, known for its boating, tourism, and location on the IJsselmeer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lemmer Target entity description: Lemmer is a historic waterside town in the Dutch province of Friesland, known for its boating, tourism, and location on the IJsselmeer.
-
A.
Blauwestad
Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
-
B.
Ermelo
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
-
C.
Ermelo
Ermelo is a town in the province of Gelderland in the central Netherlands, known for its location near the Veluwe forests and heathlands.
-
D.
Groblershoop
Groblershoop is a small town in South Africa’s Northern Cape province, known as an agricultural center in the Orange River wine and grape-growing region.
-
E.
Keetmanshoop
Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e634393b8081909f5e4c38b2f1a9b7 |
completed | April 20, 2026, 2:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074057ba44819082582784847a90da |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740ff37fc81908e68db633223fb9c |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07424880e08190a582da18e3a6af19 |
completed | May 15, 2026, 3:56 p.m. |
Created at: April 10, 2026, 1:39 p.m.