Triple
T1743413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giverny cemetery |
E38281
|
entity |
| Predicate | hasAccessRoad |
P9041
|
FINISHED |
| Object |
D5 road
The D5 road is a regional roadway in France that provides access to local destinations such as the Giverny cemetery and surrounding areas.
|
E211407
|
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: D5 road | Statement: [Giverny cemetery, hasAccessRoad, D5 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D5 road Context triple: [Giverny cemetery, hasAccessRoad, D5 road]
-
A.
D559 road
The D559 road is a coastal route in southeastern France that connects several towns along the French Riviera, including Cavalaire-sur-Mer.
-
B.
A955 road
The A955 road is a coastal route in Fife, Scotland, linking several towns along the north shore of the Firth of Forth, including Methil.
-
C.
D970 road
The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
-
D.
A25 road
The A25 road is an important east–west route in South East England that runs through Surrey and connects several towns between Guildford and Sevenoaks.
-
E.
A52 road
The A52 road is a major east–west route in England that runs across the East Midlands, linking cities such as Nottingham and Derby with coastal towns like Skegness.
- 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: D5 road Triple: [Giverny cemetery, hasAccessRoad, D5 road]
Generated description
The D5 road is a regional roadway in France that provides access to local destinations such as the Giverny cemetery and surrounding areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D5 road Target entity description: The D5 road is a regional roadway in France that provides access to local destinations such as the Giverny cemetery and surrounding areas.
-
A.
D559 road
The D559 road is a coastal route in southeastern France that connects several towns along the French Riviera, including Cavalaire-sur-Mer.
-
B.
A955 road
The A955 road is a coastal route in Fife, Scotland, linking several towns along the north shore of the Firth of Forth, including Methil.
-
C.
D970 road
The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
-
D.
A25 road
The A25 road is an important east–west route in South East England that runs through Surrey and connects several towns between Guildford and Sevenoaks.
-
E.
A52 road
The A52 road is a major east–west route in England that runs across the East Midlands, linking cities such as Nottingham and Derby with coastal towns like Skegness.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c836d48190bd44ea24977aba2d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaca5f348190a8c1be9948d960e6 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb6e8fe08190a4732d42aa15ee8e |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adebea03a08190bd055e3e6460b5f4 |
completed | March 8, 2026, 9:36 p.m. |
Created at: March 4, 2026, 7:31 p.m.