Triple
T13992393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanchang Metro |
E336612
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Aixi Lake East Station
Aixi Lake East Station is a metro station serving passengers on the urban rapid transit network in Nanchang, China.
|
E1073708
|
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: Aixi Lake East Station | Statement: [Nanchang Metro, hasStation, Aixi Lake East Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aixi Lake East Station Context triple: [Nanchang Metro, hasStation, Aixi Lake East Station]
-
A.
Houdan station
Houdan station is a railway station in Houdan, France, serving as a stop on the Transilien Line N suburban rail network connecting western suburbs to Paris.
-
B.
Cadaujac station
Cadaujac station is a local railway stop in the commune of Cadaujac in southwestern France, serving regional passenger trains.
-
C.
Los Orientales station
Los Orientales station is a stop on Santiago's Metro Line 4 serving the eastern area of Chile's capital city.
-
D.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
E.
Vavin station
Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
- 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: Aixi Lake East Station Triple: [Nanchang Metro, hasStation, Aixi Lake East Station]
Generated description
Aixi Lake East Station is a metro station serving passengers on the urban rapid transit network in Nanchang, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aixi Lake East Station Target entity description: Aixi Lake East Station is a metro station serving passengers on the urban rapid transit network in Nanchang, China.
-
A.
Houdan station
Houdan station is a railway station in Houdan, France, serving as a stop on the Transilien Line N suburban rail network connecting western suburbs to Paris.
-
B.
Cadaujac station
Cadaujac station is a local railway stop in the commune of Cadaujac in southwestern France, serving regional passenger trains.
-
C.
Los Orientales station
Los Orientales station is a stop on Santiago's Metro Line 4 serving the eastern area of Chile's capital city.
-
D.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
E.
Vavin station
Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac98ca448190b585ef69a4e4bfca |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae8f83f481909ac16d4bb66ea79d |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf702c94819095347e2599ae9931 |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.