Triple
T7375861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciénega region |
E170120
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
|
E689406
|
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: Poncitlán | Statement: [Ciénega region, hasCity, Poncitlán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poncitlán Context triple: [Ciénega region, hasCity, Poncitlán]
-
A.
Ayotlán
Ayotlán is a municipality and town in the Los Altos region of the Mexican state of Jalisco, known for its agricultural traditions and regional culture.
-
B.
Apatzingán
Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
-
C.
Ocotlán
Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
-
D.
Ejutla
Ejutla is a small municipality and town in the state of Jalisco, Mexico, known for its rural character and location within the western highlands region.
-
E.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
- 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: Poncitlán Triple: [Ciénega region, hasCity, Poncitlán]
Generated description
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poncitlán Target entity description: Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
-
A.
Ayotlán
Ayotlán is a municipality and town in the Los Altos region of the Mexican state of Jalisco, known for its agricultural traditions and regional culture.
-
B.
Apatzingán
Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
-
C.
Ocotlán
Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
-
D.
Ejutla
Ejutla is a small municipality and town in the state of Jalisco, Mexico, known for its rural character and location within the western highlands region.
-
E.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
- 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_69c8fa20137081909a21ac366c19407f |
completed | March 29, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69c8fde9ff1c81909aaae20da6c18a50 |
completed | March 29, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8fe364fb081908cf0959809c204e2 |
completed | March 29, 2026, 10:25 a.m. |
Created at: March 27, 2026, 3:07 p.m.