Triple
T8664912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wateringen |
E205642
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object |
N222
N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
|
E749328
|
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: N222 | Statement: [Wateringen, roadAccess, N222]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N222 Context triple: [Wateringen, roadAccess, N222]
-
A.
N228
N228 is a regional road in the Netherlands that provides access to and from the village of Benschop.
-
B.
N211
N211 is a regional road in the Netherlands that connects several towns and provides important access routes in the South Holland province.
-
C.
N272
N272 is a regional road in the Netherlands that serves as a key connection route in the province of North Brabant, including access to the village of Sint Anthonis.
-
D.
N218
N218 is a regional road in the Netherlands that connects the town of Zuidland with other nearby areas in the province of South Holland.
-
E.
N271
N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
- 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: N222 Triple: [Wateringen, roadAccess, N222]
Generated description
N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N222 Target entity description: N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
-
A.
N228
N228 is a regional road in the Netherlands that provides access to and from the village of Benschop.
-
B.
N211
N211 is a regional road in the Netherlands that connects several towns and provides important access routes in the South Holland province.
-
C.
N272
N272 is a regional road in the Netherlands that serves as a key connection route in the province of North Brabant, including access to the village of Sint Anthonis.
-
D.
N218
N218 is a regional road in the Netherlands that connects the town of Zuidland with other nearby areas in the province of South Holland.
-
E.
N271
N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a0ae108190b33dadcc3cb18949 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd0d95ec81908669ee35f0987be7 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8e5afc8190912b6eb9c80dd073 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf8ee4f48190bb901e35ade91b6c |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.