Triple
T8732680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huasteca Potosina waterfalls |
E207295
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
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.
|
E757180
|
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: Tamasopo | Statement: [Huasteca Potosina waterfalls, nearbyTown, Tamasopo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamasopo Context triple: [Huasteca Potosina waterfalls, nearbyTown, Tamasopo]
-
A.
Tanasitolo
Tanasitolo is a village-level settlement located within Wajo Regency in South Sulawesi, Indonesia.
-
B.
Tiwatope
Tiwatope is the birth name of Tiwa Savage, a prominent Nigerian singer, songwriter, and actress known as the "Queen of Afrobeats."
-
C.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
- 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: Tamasopo Triple: [Huasteca Potosina waterfalls, nearbyTown, Tamasopo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamasopo Target entity description: 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.
-
A.
Tanasitolo
Tanasitolo is a village-level settlement located within Wajo Regency in South Sulawesi, Indonesia.
-
B.
Tiwatope
Tiwatope is the birth name of Tiwa Savage, a prominent Nigerian singer, songwriter, and actress known as the "Queen of Afrobeats."
-
C.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2903b08190a5ef29b6d6ca5f1c |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5174db7881908597d5dc472adde9 |
completed | April 3, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69cf53e98a0081909055aacdb0549824 |
completed | April 3, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54de42a08190b1ccef9be3220c9e |
completed | April 3, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:37 p.m.