Triple
T11962896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pablo–Los Dominicos |
E284713
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object |
NS-93 trains
NS-93 trains are a class of electric multiple-unit metro trains used on the Santiago Metro system in Chile.
|
E957845
|
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: NS-93 trains | Statement: [San Pablo–Los Dominicos, usesRollingStock, NS-93 trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS-93 trains Context triple: [San Pablo–Los Dominicos, usesRollingStock, NS-93 trains]
-
A.
NS-74 trains
NS-74 trains are a series of electric multiple units used on the Santiago Metro system in Chile, known for their long service history and role in the network’s expansion.
-
B.
NE-92 trains
NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
-
C.
NM-83 trains
NM-83 trains are a model of electric multiple-unit metro cars used to operate passenger services on Mexico City Metro’s Line 3.
-
D.
MP-68 trains
MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
-
E.
NM-02 trains
NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
- 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: NS-93 trains Triple: [San Pablo–Los Dominicos, usesRollingStock, NS-93 trains]
Generated description
NS-93 trains are a class of electric multiple-unit metro trains used on the Santiago Metro system in Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NS-93 trains Target entity description: NS-93 trains are a class of electric multiple-unit metro trains used on the Santiago Metro system in Chile.
-
A.
NS-74 trains
NS-74 trains are a series of electric multiple units used on the Santiago Metro system in Chile, known for their long service history and role in the network’s expansion.
-
B.
NE-92 trains
NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
-
C.
NM-83 trains
NM-83 trains are a model of electric multiple-unit metro cars used to operate passenger services on Mexico City Metro’s Line 3.
-
D.
MP-68 trains
MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
-
E.
NM-02 trains
NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:45 p.m.