Triple
T14004573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N2 road |
E336912
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
N49 road
The N49 road is a national secondary route in Ireland that connects regional towns and links with major roads such as the N2.
|
E1081809
|
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: N49 road | Statement: [N2 road, hasJunctionWith, N49 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N49 road Context triple: [N2 road, hasJunctionWith, N49 road]
-
A.
N44 road
The N44 road is a major Dutch roadway in the western Netherlands that connects The Hague with the A44 motorway toward Leiden and Amsterdam.
-
B.
N4 road
The N4 road is a major national primary route in Ireland that connects Dublin to Sligo, passing through several counties including County Longford.
-
C.
N29 road
The N29 road is a regional highway in Belgium that connects several towns and provides important local and interurban access routes.
-
D.
N9 road
The N9 road is a national route in South Africa that runs through the Eastern and Western Cape, linking several inland towns and serving as an important regional transport corridor.
-
E.
N9 road
The N9 road is a major Moroccan highway that connects the city of Marrakech with the southern regions, crossing the High Atlas Mountains and passing through towns such as Zagora.
- 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: N49 road Triple: [N2 road, hasJunctionWith, N49 road]
Generated description
The N49 road is a national secondary route in Ireland that connects regional towns and links with major roads such as the N2.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N49 road Target entity description: The N49 road is a national secondary route in Ireland that connects regional towns and links with major roads such as the N2.
-
A.
N44 road
The N44 road is a major Dutch roadway in the western Netherlands that connects The Hague with the A44 motorway toward Leiden and Amsterdam.
-
B.
N4 road
The N4 road is a major national primary route in Ireland that connects Dublin to Sligo, passing through several counties including County Longford.
-
C.
N29 road
The N29 road is a regional highway in Belgium that connects several towns and provides important local and interurban access routes.
-
D.
N9 road
The N9 road is a national route in South Africa that runs through the Eastern and Western Cape, linking several inland towns and serving as an important regional transport corridor.
-
E.
N9 road
The N9 road is a major Moroccan highway that connects the city of Marrakech with the southern regions, crossing the High Atlas Mountains and passing through towns such as Zagora.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed1d2548190bb46d6b7cba4ffde |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdef5e0648190ace4ec1605968e30 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fcdfd372e0819089f0b48f84a63ab4 |
completed | May 7, 2026, 6:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce027c628819085738433b5d5525d |
completed | May 7, 2026, 6:55 p.m. |
Created at: April 9, 2026, 10:19 p.m.