Triple
T4508419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Metro Line 5 |
E101988
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object | Longgang District |
E115506
|
NE FINISHED |
How this triple was built (2 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: Longgang District | Statement: [Shenzhen Metro Line 5, connectsDistrict, Longgang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longgang District Context triple: [Shenzhen Metro Line 5, connectsDistrict, Longgang District]
-
A.
Longgang District
chosen
Longgang District is a major suburban and industrial district in the eastern part of Shenzhen, China, known for its rapid urban development and manufacturing base.
-
B.
Yu’an District
Yu’an District is an urban administrative district under the jurisdiction of Lu’an City in Anhui Province, China.
-
C.
Gongliao District
Gongliao District is a sparsely populated coastal district in northeastern Taiwan known for its scenic beaches, rugged shoreline, and the Fulong Beach resort area.
-
D.
Yinhai District
Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
-
E.
Nanshan District
Nanshan District is a major urban district of Shenzhen, China, known as a key technology and innovation hub that hosts many leading tech companies and research institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570f9b1c8190b52ace855dbf6641 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf9f5291f881909d9470a728667346 |
completed | March 22, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:01 p.m.