Triple
T16412540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Verapaz Department |
E398600
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Tamahú
Tamahú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its highland landscapes and predominantly indigenous Maya population.
|
E1212746
|
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: Tamahú | Statement: [Alta Verapaz Department, hasMunicipality, Tamahú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamahú Context triple: [Alta Verapaz Department, hasMunicipality, Tamahú]
-
A.
Tamachek
Tamachek is an alternative name for Tamasheq, a Berber language spoken by the Tuareg people of the Sahara region.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Tamalu
Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
D.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
E.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
- 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: Tamahú Triple: [Alta Verapaz Department, hasMunicipality, Tamahú]
Generated description
Tamahú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its highland landscapes and predominantly indigenous Maya population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamahú Target entity description: Tamahú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its highland landscapes and predominantly indigenous Maya population.
-
A.
Tamachek
Tamachek is an alternative name for Tamasheq, a Berber language spoken by the Tuareg people of the Sahara region.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Tamalu
Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
D.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
E.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32875bad08190bc3e2218df8c1b07 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457d9f4081908a5f28eeafc44695 |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00469f5d8081908c21fc30dcb5d5b8 |
completed | May 10, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0047322384819082a95f9a6f5a53fc |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:09 a.m.