Triple
T544050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauritania |
E12692
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object |
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
|
E67887
|
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: MRT | Statement: [Mauritania, ISO3166-1Alpha3, MRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRT Context triple: [Mauritania, ISO3166-1Alpha3, MRT]
-
A.
MRT subway
The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
-
B.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
C.
M train
The M train is a New York City Subway service that runs through parts of Queens, Brooklyn, and Manhattan, connecting neighborhoods such as Middle Village and Forest Hills with Midtown and Lower Manhattan.
-
D.
MRT Line 3
MRT Line 3 is a major elevated rapid transit line in Metro Manila that runs along EDSA, serving as one of the region’s primary commuter rail corridors.
-
E.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
- 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: MRT Triple: [Mauritania, ISO3166-1Alpha3, MRT]
Generated description
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRT Target entity description: MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
A.
MRT subway
The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
-
B.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
C.
M train
The M train is a New York City Subway service that runs through parts of Queens, Brooklyn, and Manhattan, connecting neighborhoods such as Middle Village and Forest Hills with Midtown and Lower Manhattan.
-
D.
MRT Line 3
MRT Line 3 is a major elevated rapid transit line in Metro Manila that runs along EDSA, serving as one of the region’s primary commuter rail corridors.
-
E.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 |
completed | March 1, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69a4cdd043b881908795f61cbfa06bc8 |
completed | March 1, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4cf2e7b908190817cfcaf0490d6f7 |
completed | March 1, 2026, 11:43 p.m. |
Created at: March 1, 2026, 7:32 p.m.