Triple
T332725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastogne |
E6658
|
entity |
| Predicate | roadJunctionOf |
P6234
|
FINISHED |
| Object |
N84
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
|
E43076
|
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: N84 | Statement: [Bastogne, roadJunctionOf, N84]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N84 Context triple: [Bastogne, roadJunctionOf, N84]
-
A.
NA48
NA48 was a CERN fixed-target experiment at the SPS focused on precision studies of CP violation and rare decays in neutral kaons.
-
B.
Nokki
Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
-
C.
N8 Research Partnership
N8 Research Partnership is a collaboration of eight research-intensive universities in Northern England focused on advancing world-class research, innovation, and economic growth.
-
D.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
-
E.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
- 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: N84 Triple: [Bastogne, roadJunctionOf, N84]
Generated description
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N84 Target entity description: N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
-
A.
NA48
NA48 was a CERN fixed-target experiment at the SPS focused on precision studies of CP violation and rare decays in neutral kaons.
-
B.
Nokki
Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
-
C.
N8 Research Partnership
N8 Research Partnership is a collaboration of eight research-intensive universities in Northern England focused on advancing world-class research, innovation, and economic growth.
-
D.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
-
E.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee028c488190ad0109510de2956d |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d24410608190be8da7fa425f1971 |
completed | March 1, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_69a3d3425a54819087035f5de7a26417 |
completed | March 1, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d41e60c081909e92df5319defe2c |
completed | March 1, 2026, 5:52 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.