Triple
T14882180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuanwumen station |
E350025
|
entity |
| Predicate | hasIslandPlatformForLine |
P18595
|
FINISHED |
| Object |
Line 4
Line 4 is a major line of the Beijing Subway system, running north–south through central Beijing and serving key commercial and residential areas.
|
E66475
|
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 4 | Statement: [Xuanwumen station, hasIslandPlatformForLine, Line 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 4 Context triple: [Xuanwumen station, hasIslandPlatformForLine, Line 4]
-
A.
Line 4
Line 4 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
-
B.
Line 4
Line 4 is a major line of the Santiago Metro in Chile, serving key residential and commercial areas in the southeastern part of the city.
-
C.
Line 4
Line 4 is a Culver CityBus public transit route serving key destinations within and around Culver City, California.
-
D.
Line 4
Line 4 is a major north–south route of the Seoul Metropolitan Subway system, connecting central Seoul with surrounding suburban areas.
-
E.
Line 4
Line 4 is a branch of the Delhi Metro’s Blue Line that serves as a connector route within the system’s broader east–west corridor.
- 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 4 Triple: [Xuanwumen station, hasIslandPlatformForLine, Line 4]
Generated description
Line 4 is a major line of the Beijing Subway system, running north–south through central Beijing and serving key commercial and residential areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 4 Target entity description: Line 4 is a major line of the Beijing Subway system, running north–south through central Beijing and serving key commercial and residential areas.
-
A.
Line 4
chosen
Line 4 is a major north–south rapid transit route in the Beijing Subway system, serving key commercial, residential, and university areas of the city.
-
B.
Line 4
Line 4 is a major north–south route of the Seoul Metropolitan Subway system, connecting central Seoul with surrounding suburban areas.
-
C.
Line 4
Line 4 is one of the main north–south lines of the Paris Métro, known for serving central Paris and connecting key railway stations and neighborhoods.
-
D.
Line 4
Line 4 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as one of the city's major north–south corridors.
-
E.
Line 4
Line 4 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving key urban and suburban areas along its north–south corridor.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5af8208190a35451477ea20b03 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6cc2ccb0819081e32dc9d2e3973a |
completed | May 8, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6d9e9a648190920206c8f75cae2e |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 1:56 a.m.