Triple
T2067010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBX |
E45924
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Tijuana |
E10019
|
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: Tijuana | Statement: [CBX, servesCity, Tijuana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tijuana Context triple: [CBX, servesCity, Tijuana]
-
A.
Tijuana
chosen
Tijuana is a large, bustling border city in northwestern Mexico known for its cultural vibrancy, manufacturing industry, and close economic and social ties with the neighboring U.S. city of San Diego.
-
B.
San Diego–Tijuana
San Diego–Tijuana is a major transborder metropolitan region spanning southern California and northwestern Mexico, known for its extensive economic, cultural, and social integration across the U.S.–Mexico border.
-
C.
Culiacán
Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
-
D.
Chihuahua City
Chihuahua City is a major urban and industrial center in northern Mexico known for its colonial architecture, mining history, and role in the Mexican Revolution.
-
E.
Ciudad Juárez
Ciudad Juárez is a major industrial and border city in northern Mexico, located across the Rio Grande from El Paso, Texas.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f236f08190b602d337afb1880f |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae305263f88190b448fb134163d5aa |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:40 p.m.