Triple
T12575902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEM |
E300204
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object |
MRT
MRT is a public rapid transit system commonly known for operating urban metro and subway services in various cities.
|
E990550
|
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: [BEM, servedBy, MRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRT Context triple: [BEM, servedBy, MRT]
-
A.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
B.
MRT
MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
-
C.
MRT
MRT is a common abbreviation for urban metro or subway systems providing high-capacity public transportation in major cities.
-
D.
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.
-
E.
MRT2
MRT2 is the common name for the MRT Putrajaya Line, a major mass rapid transit line serving the Klang Valley region in Malaysia.
- 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: [BEM, servedBy, MRT]
Generated description
MRT is a public rapid transit system commonly known for operating urban metro and subway services in various cities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRT Target entity description: MRT is a public rapid transit system commonly known for operating urban metro and subway services in various cities.
-
A.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
B.
MRT
MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
-
C.
MRT
chosen
MRT is a common abbreviation for urban metro or subway systems providing high-capacity public transportation in major cities.
-
D.
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.
-
E.
MRT2
MRT2 is the common name for the MRT Putrajaya Line, a major mass rapid transit line serving the Klang Valley region in Malaysia.
- F. None of above.
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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67190a20c8190918b465b67d25869 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6735b3de08190ab4665206fe71eb4 |
completed | May 2, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6745a5c148190a76753fdb699706a |
completed | May 2, 2026, 10:02 p.m. |
Created at: April 9, 2026, 4:47 p.m.