Triple
T294432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare du Nord |
E6061
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
XPG
XPG is the IATA station code for Paris Gare du Nord, one of the main international railway hubs in Paris, France.
|
E37923
|
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: XPG | Statement: [Gare du Nord, hasIATAcode, XPG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XPG Context triple: [Gare du Nord, hasIATAcode, XPG]
-
A.
Buffalo Bell
Buffalo Bell is a female buffalo mascot character for the Japanese professional baseball team Orix Buffaloes.
-
B.
Cree
The Cree are one of the largest Indigenous peoples of North America, with communities primarily in Canada and a rich cultural heritage including distinct Algonquian languages and traditions.
-
C.
Onex
Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
-
D.
ExCom
ExCom is the Executive Committee of the UNHCR High Commissioner’s Programme, the main intergovernmental body that advises on and approves the agency’s policies and budget for refugee protection and assistance.
-
E.
Group of Five
The Group of Five refers to the five NCAA Division I FBS football conferences outside the traditional power conferences, generally considered to have less financial resources, media exposure, and competitive depth.
- 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: XPG Triple: [Gare du Nord, hasIATAcode, XPG]
Generated description
XPG is the IATA station code for Paris Gare du Nord, one of the main international railway hubs in Paris, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XPG Target entity description: XPG is the IATA station code for Paris Gare du Nord, one of the main international railway hubs in Paris, France.
-
A.
Buffalo Bell
Buffalo Bell is a female buffalo mascot character for the Japanese professional baseball team Orix Buffaloes.
-
B.
Cree
The Cree are one of the largest Indigenous peoples of North America, with communities primarily in Canada and a rich cultural heritage including distinct Algonquian languages and traditions.
-
C.
Onex
Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
-
D.
ExCom
ExCom is the Executive Committee of the UNHCR High Commissioner’s Programme, the main intergovernmental body that advises on and approves the agency’s policies and budget for refugee protection and assistance.
-
E.
Group of Five
The Group of Five refers to the five NCAA Division I FBS football conferences outside the traditional power conferences, generally considered to have less financial resources, media exposure, and competitive depth.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e978420881908488df342a7d5e90 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a5d514388190ac0f748a406ae43e |
completed | March 1, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69a3a63b33408190bea3a099165d1233 |
completed | March 1, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a69b4e488190ae092d6989c75556 |
completed | March 1, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.