Triple
T14169965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Line (Los Angeles Metro) |
E351179
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Azuza
Azuza is a city in Los Angeles County, California, known for being a suburban community in the San Gabriel Valley.
|
E1082939
|
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: Azuza | Statement: [A Line (Los Angeles Metro), terminus, Azuza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azuza Context triple: [A Line (Los Angeles Metro), terminus, Azuza]
-
A.
Anzures
Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
-
B.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
C.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
D.
Borbalán
Borbalán is a small coastal village within the municipality of Valle Gran Rey on the island of La Gomera in Spain’s Canary Islands.
-
E.
Alfaro
Alfaro is a historic town in the autonomous community of La Rioja in northern Spain, known for its wine-growing tradition and large white stork colony.
- 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: Azuza Triple: [A Line (Los Angeles Metro), terminus, Azuza]
Generated description
Azuza is a city in Los Angeles County, California, known for being a suburban community in the San Gabriel Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azuza Target entity description: Azuza is a city in Los Angeles County, California, known for being a suburban community in the San Gabriel Valley.
-
A.
Anzures
Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
-
B.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
C.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
D.
Borbalán
Borbalán is a small coastal village within the municipality of Valle Gran Rey on the island of La Gomera in Spain’s Canary Islands.
-
E.
Alfaro
Alfaro is a historic town in the autonomous community of La Rioja in northern Spain, known for its wine-growing tradition and large white stork colony.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f779248190921c85f99f587296 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcf8bb58ac81908e66156a805edda8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf93b528c81908c0ee11908d25574 |
completed | May 7, 2026, 8:42 p.m. |
Created at: April 10, 2026, 1:01 a.m.