Triple
T4495305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrejón de Ardoz |
E100679
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
M-50
M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
|
E448052
|
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: M-50 | Statement: [Torrejón de Ardoz, roadConnection, M-50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-50 Context triple: [Torrejón de Ardoz, roadConnection, M-50]
-
A.
M-5
M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
-
B.
M-506
M-506 is a regional road in the Community of Madrid, Spain, that serves as a key connector for the municipality of Pinto and surrounding areas.
-
C.
M-45
M-45 is a major ring road in the Madrid metropolitan area that helps divert traffic around the city and connect several eastern suburbs.
-
D.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
E.
M55
M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
- 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: M-50 Triple: [Torrejón de Ardoz, roadConnection, M-50]
Generated description
M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-50 Target entity description: M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
-
A.
M-5
M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
-
B.
M-506
M-506 is a regional road in the Community of Madrid, Spain, that serves as a key connector for the municipality of Pinto and surrounding areas.
-
C.
M-45
M-45 is a major ring road in the Madrid metropolitan area that helps divert traffic around the city and connect several eastern suburbs.
-
D.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
E.
M55
M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bde14c819091d42839a46291d0 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f8190e88190aec651ac9fe9ef92 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71aecafc8190b0815d0308bbcaa9 |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd75f39d788190b9e394050c55f44d |
completed | March 20, 2026, 4:29 p.m. |
Created at: March 20, 2026, 1 p.m.