Triple
T8663863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Shanghai Metro) |
E205614
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Dabaishu station
Dabaishu station is a Shanghai Metro rapid transit stop serving the Hongkou District along Line 3.
|
E828948
|
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: Dabaishu station | Statement: [Line 3 (Shanghai Metro), hasStation, Dabaishu station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dabaishu station Context triple: [Line 3 (Shanghai Metro), hasStation, Dabaishu station]
-
A.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
B.
Shichahai station
Shichahai station is an underground metro stop on the Beijing Subway serving the historic Shichahai scenic area near central Beijing.
-
C.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
D.
Asok Station
Asok Station is a major elevated rapid transit stop on Bangkok’s BTS Sukhumvit Line, serving as a key interchange with the MRT and a busy hub for commuters and shoppers.
-
E.
Urawa Station
Urawa Station is a major railway hub in Saitama, Japan, connecting multiple JR East lines and serving as an important commuter gateway to central Tokyo.
- 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: Dabaishu station Triple: [Line 3 (Shanghai Metro), hasStation, Dabaishu station]
Generated description
Dabaishu station is a Shanghai Metro rapid transit stop serving the Hongkou District along Line 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dabaishu station Target entity description: Dabaishu station is a Shanghai Metro rapid transit stop serving the Hongkou District along Line 3.
-
A.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
B.
Shichahai station
Shichahai station is an underground metro stop on the Beijing Subway serving the historic Shichahai scenic area near central Beijing.
-
C.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
D.
Asok Station
Asok Station is a major elevated rapid transit stop on Bangkok’s BTS Sukhumvit Line, serving as a key interchange with the MRT and a busy hub for commuters and shoppers.
-
E.
Urawa Station
Urawa Station is a major railway hub in Saitama, Japan, connecting multiple JR East lines and serving as an important commuter gateway to central Tokyo.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc489f7edc8190bde1b4dc09249207 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20c75bf508190a812c87950cb5227 |
completed | April 5, 2026, 7:17 a.m. |
| NEDg | Description generation | batch_69d20fe81dfc81909da77c59d0b8497a |
completed | April 5, 2026, 7:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d210fed02c8190bde2dfa7e81b1ef2 |
completed | April 5, 2026, 7:36 a.m. |
Created at: March 30, 2026, 6:30 p.m.