Triple
T7375860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciénega region |
E170120
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Jamay
Jamay is a small municipality and town in the Ciénega region of Jalisco, Mexico, known for its lakeside location near Lake Chapala and traditional agricultural economy.
|
E659922
|
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: Jamay | Statement: [Ciénega region, hasCity, Jamay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamay Context triple: [Ciénega region, hasCity, Jamay]
-
A.
Jami
Jami was a prominent 15th-century Persian poet, scholar, and Sufi mystic renowned for his influential literary works and spiritual writings in the Islamic world.
-
B.
Jamaame
Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
-
C.
Jayme
Jayme is a given name, typically a variant spelling of Jamie, used for people of any gender.
-
D.
Amay
Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
-
E.
Jajamen
Jajamen is a regional noodle dish from Morioka, Japan, featuring thick wheat noodles typically served with a savory meat-miso sauce and various toppings.
- 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: Jamay Triple: [Ciénega region, hasCity, Jamay]
Generated description
Jamay is a small municipality and town in the Ciénega region of Jalisco, Mexico, known for its lakeside location near Lake Chapala and traditional agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jamay Target entity description: Jamay is a small municipality and town in the Ciénega region of Jalisco, Mexico, known for its lakeside location near Lake Chapala and traditional agricultural economy.
-
A.
Jami
Jami was a prominent 15th-century Persian poet, scholar, and Sufi mystic renowned for his influential literary works and spiritual writings in the Islamic world.
-
B.
Jamaame
Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
-
C.
Jayme
Jayme is a given name, typically a variant spelling of Jamie, used for people of any gender.
-
D.
Amay
Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
-
E.
Jajamen
Jajamen is a regional noodle dish from Morioka, Japan, featuring thick wheat noodles typically served with a savory meat-miso sauce and various toppings.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d15a8481908e43701459607276 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803ad72308190a9640f2fb043daab |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8043121988190b7c9ea0f786296c2 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.