Triple
T12050243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4–Yellow |
E286895
|
entity |
| Predicate | connectsWithLine |
P845
|
FINISHED |
| Object | Line 8–Diamond |
E293552
|
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: Line 8–Diamond | Statement: [Line 4–Yellow, connectsWithLine, Line 8–Diamond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 8–Diamond Context triple: [Line 4–Yellow, connectsWithLine, Line 8–Diamond]
-
A.
Line 8-Diamante
chosen
Line 8-Diamante is a commuter rail line in the São Paulo metropolitan area, operated by CPTM and serving western suburbs of the city.
-
B.
Line 9–Emerald
Line 9–Emerald is a New York City Subway service running along the Lexington Avenue Line in Manhattan and into Brooklyn, typically designated by the dark green color on subway maps.
-
C.
Line 8
Line 8 is a rapid transit line of the Beijing Subway system that serves key central and northern districts of Beijing.
-
D.
Line 8
Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
-
E.
Line 8
Line 8 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as part of the city's expanding urban rail network.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dd140a48190844f64c228e6367a |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.