Triple
T6719726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swords |
E153363
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object |
R106 road
The R106 road is a regional route in County Dublin, Ireland, linking coastal and suburban areas including the town of Swords.
|
E622905
|
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: R106 road | Statement: [Swords, hasRoadConnection, R106 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R106 road Context triple: [Swords, hasRoadConnection, R106 road]
-
A.
R107 road
The R107 road is a regional route in County Dublin, Ireland, connecting parts of north Dublin city to suburban areas including Kinsealy and Malahide.
-
B.
A1067 road
The A1067 road is a primary route in Norfolk, England, linking the town of Fakenham with Norwich and serving as an important regional connector.
-
C.
N65 road
The N65 road is a major Dutch highway in the province of North Brabant that connects the cities of Vught and Tilburg and serves several towns in between.
-
D.
R124 road
The R124 road is a regional route in County Dublin, Ireland, connecting several suburban and coastal areas north of Dublin city.
-
E.
R132 road
The R132 road is a regional roadway in Ireland that runs through County Dublin, serving as a key local route parallel to parts of the M1 and connecting towns such as Swords.
- 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: R106 road Triple: [Swords, hasRoadConnection, R106 road]
Generated description
The R106 road is a regional route in County Dublin, Ireland, linking coastal and suburban areas including the town of Swords.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R106 road Target entity description: The R106 road is a regional route in County Dublin, Ireland, linking coastal and suburban areas including the town of Swords.
-
A.
R107 road
The R107 road is a regional route in County Dublin, Ireland, connecting parts of north Dublin city to suburban areas including Kinsealy and Malahide.
-
B.
A1067 road
The A1067 road is a primary route in Norfolk, England, linking the town of Fakenham with Norwich and serving as an important regional connector.
-
C.
N65 road
The N65 road is a major Dutch highway in the province of North Brabant that connects the cities of Vught and Tilburg and serves several towns in between.
-
D.
R124 road
The R124 road is a regional route in County Dublin, Ireland, connecting several suburban and coastal areas north of Dublin city.
-
E.
R132 road
The R132 road is a regional roadway in Ireland that runs through County Dublin, serving as a key local route parallel to parts of the M1 and connecting towns such as Swords.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f8255ac81909e7732947d2a5f53 |
completed | March 28, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69c7303c58a08190a1a71850e3874be1 |
completed | March 28, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7308117548190be91fac0a9dd2989 |
completed | March 28, 2026, 1:36 a.m. |
Created at: March 27, 2026, 2:07 p.m.