Triple
T331147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobús |
E6627
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 6
Line 6 is a route of Mexico City’s Metrobús bus rapid transit system that serves as one of the network’s main corridors.
|
E42357
|
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: Line 6 | Statement: [Metrobús, hasLine, Line 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 6 Context triple: [Metrobús, hasLine, Line 6]
-
A.
Marches Line
Marches Line is a major railway route in the United Kingdom running through the Welsh Marches, connecting South Wales with the English Midlands and Northwest.
-
B.
Long Gray Line
The Long Gray Line is the enduring collective of graduates of the United States Military Academy at West Point, symbolizing their shared traditions, service, and lifelong bond.
-
C.
Lane
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
D.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
E.
Rondo
Rondo is a surname most prominently associated with Rajon Rondo, an American professional basketball player and NBA champion known for his playmaking and defensive skills.
- 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: Line 6 Triple: [Metrobús, hasLine, Line 6]
Generated description
Line 6 is a route of Mexico City’s Metrobús bus rapid transit system that serves as one of the network’s main corridors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 6 Target entity description: Line 6 is a route of Mexico City’s Metrobús bus rapid transit system that serves as one of the network’s main corridors.
-
A.
Marches Line
Marches Line is a major railway route in the United Kingdom running through the Welsh Marches, connecting South Wales with the English Midlands and Northwest.
-
B.
Long Gray Line
The Long Gray Line is the enduring collective of graduates of the United States Military Academy at West Point, symbolizing their shared traditions, service, and lifelong bond.
-
C.
Lane
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
D.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
E.
Rondo
Rondo is a surname most prominently associated with Rajon Rondo, an American professional basketball player and NBA champion known for his playmaking and defensive skills.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaafd1a48190a6d001af3c2a5318 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cff160788190a49faad3c011965e |
completed | March 1, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69a3d0dff47881909b2dc7002b16e1cd |
completed | March 1, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d15c60d4819091d615246267a2a7 |
completed | March 1, 2026, 5:40 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.