Triple
T14273264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijfheerenlanden |
E353846
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kedichem
Kedichem is a small village in the Dutch province of Utrecht, known for its rural character and historic riverside setting along the Linge.
|
E1088964
|
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: Kedichem | Statement: [Vijfheerenlanden, containsSettlement, Kedichem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kedichem Context triple: [Vijfheerenlanden, containsSettlement, Kedichem]
-
A.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
B.
Chemal
Chemal is a village and popular tourist destination in Russia’s Altai Republic, known for its scenic mountain landscapes along the Katun River and outdoor recreation opportunities.
-
C.
Chemmis
Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
-
D.
Kem
Kem is a historic town and seaport in northern Russia on the White Sea, long associated with Pomor seafaring and trade.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- 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: Kedichem Triple: [Vijfheerenlanden, containsSettlement, Kedichem]
Generated description
Kedichem is a small village in the Dutch province of Utrecht, known for its rural character and historic riverside setting along the Linge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kedichem Target entity description: Kedichem is a small village in the Dutch province of Utrecht, known for its rural character and historic riverside setting along the Linge.
-
A.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
B.
Chemal
Chemal is a village and popular tourist destination in Russia’s Altai Republic, known for its scenic mountain landscapes along the Katun River and outdoor recreation opportunities.
-
C.
Chemmis
Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
-
D.
Kem
Kem is a historic town and seaport in northern Russia on the White Sea, long associated with Pomor seafaring and trade.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326a5aec8190b139a0c49fd43705 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd333b49a88190834a5f45fa0fc6c2 |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33bdc8d08190be11f5ccf259cd6a |
completed | May 8, 2026, 12:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.