Triple
T17329634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonoyta |
E420779
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Caborca
Caborca is a city in the Mexican state of Sonora known for its agricultural production, desert landscapes, and historic mission church.
|
E1262709
|
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: Caborca | Statement: [Sonoyta, connectsTo, Caborca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caborca Context triple: [Sonoyta, connectsTo, Caborca]
-
A.
Fresnillo
Fresnillo is a major mining city in the Mexican state of Zacatecas, known especially for its large silver deposits and production.
-
B.
Uruapan
Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
-
C.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
D.
Acaponeta
Acaponeta is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and location near the Acaponeta River.
-
E.
Yelapa
Yelapa is a small, secluded beach village on Mexico’s Pacific coast known for its laid-back atmosphere, scenic bay setting, and appeal as an off-the-beaten-path getaway.
- 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: Caborca Triple: [Sonoyta, connectsTo, Caborca]
Generated description
Caborca is a city in the Mexican state of Sonora known for its agricultural production, desert landscapes, and historic mission church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caborca Target entity description: Caborca is a city in the Mexican state of Sonora known for its agricultural production, desert landscapes, and historic mission church.
-
A.
Fresnillo
Fresnillo is a major mining city in the Mexican state of Zacatecas, known especially for its large silver deposits and production.
-
B.
Uruapan
Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
-
C.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
D.
Acaponeta
Acaponeta is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and location near the Acaponeta River.
-
E.
Yelapa
Yelapa is a small, secluded beach village on Mexico’s Pacific coast known for its laid-back atmosphere, scenic bay setting, and appeal as an off-the-beaten-path getaway.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d50b308190a255874a9b8f3cd3 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4dff088190833122dbe2981045 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018eecff38819092c801e4c9d3a8a0 |
completed | May 11, 2026, 8:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018f50002c8190ae2457cefabacbbe |
completed | May 11, 2026, 8:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.