Triple
T11870689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Line 9 |
E282398
|
entity |
| Predicate | connectsWithLine |
P845
|
FINISHED |
| Object | Line 4 |
unclear NED1
|
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 4 | Statement: [Metro Line 9, connectsWithLine, Line 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 4 Context triple: [Metro Line 9, connectsWithLine, Line 4]
-
A.
Line 4
Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
-
B.
Line 4
Line 4 is a proposed circular metro line intended to complete and expand the Seville Metro network in Seville, Spain.
-
C.
Line 4
Line 4 is a rapid transit line of the Barcelona Metro network that serves several central and coastal neighborhoods in the city.
-
D.
Line 4
Line 4 is a route of the Tunis Metro light rail network serving parts of the Tunis metropolitan area in Tunisia.
-
E.
Line 4
Line 4 is a major north–south route of the Seoul Metropolitan Subway system, connecting central Seoul with surrounding suburban areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be15fb2481908f514781ce2c617f |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281b0969c8190a8c0a01ca292cc84 |
completed | April 29, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:43 p.m.