Triple
T7350258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valles region |
E169479
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Etzatlán
Etzatlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activities and traditional crafts.
|
E658410
|
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: Etzatlán | Statement: [Valles region, contains, Etzatlán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etzatlán Context triple: [Valles region, contains, Etzatlán]
-
A.
El Nayar
El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
-
B.
Étex
Étex is a French surname most notably borne by Antoine Étex, a 19th-century sculptor, painter, and architect.
-
C.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
D.
Helaba
Helaba is a major German public-sector commercial bank, formally known as Landesbank Hessen-Thüringen, that provides wholesale, retail, and public finance services.
-
E.
Escuinapa
Escuinapa is a coastal municipality and town in southern Sinaloa, Mexico, known for its fishing, agriculture, and shrimp farming.
- 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: Etzatlán Triple: [Valles region, contains, Etzatlán]
Generated description
Etzatlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activities and traditional crafts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etzatlán Target entity description: Etzatlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activities and traditional crafts.
-
A.
El Nayar
El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
-
B.
Étex
Étex is a French surname most notably borne by Antoine Étex, a 19th-century sculptor, painter, and architect.
-
C.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
D.
Helaba
Helaba is a major German public-sector commercial bank, formally known as Landesbank Hessen-Thüringen, that provides wholesale, retail, and public finance services.
-
E.
Escuinapa
Escuinapa is a coastal municipality and town in southern Sinaloa, Mexico, known for its fishing, agriculture, and shrimp farming.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f107b88c81908bb5f8deb40ab70b |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa95b26481909f26389d1019da91 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbffbc7881909a5b4e877a735848 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb2605c819080697768d00c77d7 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.