Triple
T17788865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiantongyuan station |
E444096
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tiantongyuan |
—
|
NE NERFINISHED |
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: Tiantongyuan | Statement: [Tiantongyuan station, locatedIn, Tiantongyuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiantongyuan Context triple: [Tiantongyuan station, locatedIn, Tiantongyuan]
-
A.
Tiantongyuan
chosen
Tiantongyuan is a large residential neighborhood in northern Beijing, China, known for its dense population and extensive apartment complexes.
-
B.
Gaotangling
Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
-
C.
Tuizhi
Tuizhi is the courtesy name of Han Yu, a prominent Tang dynasty Confucian scholar, essayist, and poet known for advocating classical prose.
-
D.
Tiantangzhai
Tiantangzhai is a prominent scenic mountain peak and nature reserve in central China, known for its rich biodiversity, forested landscapes, and status as a popular ecotourism destination.
-
E.
Jiuqu Xi
Jiuqu Xi is a scenic, winding river in China’s Wuyi Mountains, renowned for its dramatic gorges, bamboo-raft tours, and cultural significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879524bc819090855ab5248c73db |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.