Triple
T22155016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ommen |
E547511
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
N340
N340 is a regional road in the Netherlands that connects the town of Ommen with other parts of the Overijssel province.
|
E1521927
|
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: N340 | Statement: [Ommen, roadConnection, N340]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N340 Context triple: [Ommen, roadConnection, N340]
-
A.
N304
N304 is a regional road in the Netherlands that connects the village of Harskamp with other nearby towns and routes.
-
B.
N374
N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
-
C.
N363
N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
-
D.
N337
N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
-
E.
N334AA
N334AA was the Boeing 767-223ER aircraft operated by American Airlines that was hijacked and crashed into the North Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
- 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: N340 Triple: [Ommen, roadConnection, N340]
Generated description
N340 is a regional road in the Netherlands that connects the town of Ommen with other parts of the Overijssel province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N340 Target entity description: N340 is a regional road in the Netherlands that connects the town of Ommen with other parts of the Overijssel province.
-
A.
N304
N304 is a regional road in the Netherlands that connects the village of Harskamp with other nearby towns and routes.
-
B.
N374
N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
-
C.
N363
N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
-
D.
N337
N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
-
E.
N334AA
N334AA was the Boeing 767-223ER aircraft operated by American Airlines that was hijacked and crashed into the North Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f7d034819092ecf9682e549c9a |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a970a95488190ac723daa646820d0 |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a98bae8bc8190bd6a87983a1a6732 |
completed | May 18, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a99485cf881908764d64050667ea1 |
completed | May 18, 2026, 4:44 a.m. |
Created at: April 16, 2026, 8:33 p.m.