Triple
T7997258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Marqués |
E186157
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Huimilpan
Huimilpan is a rural municipality in the state of Querétaro, Mexico, known for its agricultural activities and traditional highland communities.
|
E717758
|
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: Huimilpan | Statement: [El Marqués, borders, Huimilpan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huimilpan Context triple: [El Marqués, borders, Huimilpan]
-
A.
Juanacatlán
Juanacatlán is a municipality in the state of Jalisco, Mexico, known for its proximity to the Santiago River and the Juanacatlán Falls.
-
B.
Juanacatlán
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
C.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
-
D.
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.
-
E.
Mexticacán
Mexticacán is a small municipality and town in the Los Altos region of the state of Jalisco, Mexico, known for its rural character and traditional Mexican 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: Huimilpan Triple: [El Marqués, borders, Huimilpan]
Generated description
Huimilpan is a rural municipality in the state of Querétaro, Mexico, known for its agricultural activities and traditional highland communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huimilpan Target entity description: Huimilpan is a rural municipality in the state of Querétaro, Mexico, known for its agricultural activities and traditional highland communities.
-
A.
Juanacatlán
Juanacatlán is a municipality in the state of Jalisco, Mexico, known for its proximity to the Santiago River and the Juanacatlán Falls.
-
B.
Juanacatlán
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
C.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
-
D.
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.
-
E.
Mexticacán
Mexticacán is a small municipality and town in the Los Altos region of the state of Jalisco, Mexico, known for its rural character and traditional Mexican 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c98e39081908904d36a31bd6768 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecaf89e88190b347abc200d1a266 |
completed | April 1, 2026, 10 a.m. |
| NEDg | Description generation | batch_69ccf0982f4481908e2a59424fdf470f |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd051913708190a83f925cf0cbbaa1 |
completed | April 1, 2026, 11:44 a.m. |
Created at: March 30, 2026, 5:17 p.m.