Triple
T2720752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPTM commuter rail |
E60073
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 13-Jade
Line 13-Jade is a commuter rail line in the São Paulo metropolitan area operated by CPTM, serving suburban passengers along its designated corridor.
|
E293557
|
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: Line 13-Jade | Statement: [CPTM commuter rail, hasLine, Line 13-Jade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 13-Jade Context triple: [CPTM commuter rail, hasLine, Line 13-Jade]
-
A.
Jade
Jade is a recurring character in The Hangover film series, known as the Las Vegas stripper and brief wife of Stu who becomes entangled in the group's chaotic misadventures.
-
B.
Jade
Jade is a key protagonist in the action-comedy film "Bulletproof Monk," known for her rebellious streak and eventual role in the battle to protect a mystical scroll.
-
C.
Jade
Jade is a 1995 neo-noir erotic thriller film known for its intricate murder mystery plot and stylish direction by William Friedkin.
-
D.
Line 13
Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
-
E.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
- 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: Line 13-Jade Triple: [CPTM commuter rail, hasLine, Line 13-Jade]
Generated description
Line 13-Jade is a commuter rail line in the São Paulo metropolitan area operated by CPTM, serving suburban passengers along its designated corridor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 13-Jade Target entity description: Line 13-Jade is a commuter rail line in the São Paulo metropolitan area operated by CPTM, serving suburban passengers along its designated corridor.
-
A.
Jade
Jade is a recurring character in The Hangover film series, known as the Las Vegas stripper and brief wife of Stu who becomes entangled in the group's chaotic misadventures.
-
B.
Jade
Jade is a key protagonist in the action-comedy film "Bulletproof Monk," known for her rebellious streak and eventual role in the battle to protect a mystical scroll.
-
C.
Jade
Jade is a 1995 neo-noir erotic thriller film known for its intricate murder mystery plot and stylish direction by William Friedkin.
-
D.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
-
E.
Line 13
Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6914f70819099482893d026f34b |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb726182081909570e4cb7a364e4d |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb78f9d08819087d6f31fe1e4e61c |
completed | March 10, 2026, 6:17 a.m. |
Created at: March 6, 2026, 9:55 p.m.