Triple
T2261379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Chihuahua |
E50046
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Parral |
E105028
|
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: Parral | Statement: [State of Chihuahua, contains, Parral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parral Context triple: [State of Chihuahua, contains, Parral]
-
A.
Parral
chosen
Parral is a historic mining city in the Mexican state of Chihuahua, known for its colonial architecture and its association with revolutionary leader Pancho Villa.
-
B.
Parral
Parral is a Chilean town known as the birthplace of Nobel Prize–winning poet Pablo Neruda, located in the country’s agricultural Maule Region.
-
C.
Apodaca
Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
-
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.
Parras de la Fuente
Parras de la Fuente is a historic town in northern Mexico renowned as one of the country’s oldest wine-producing regions and a notable center of viticulture in Coahuila.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18aa9d48190893ca32558730e9c |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96021324819088eafcaf06f97455 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:48 p.m.