Triple
T8341896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Tequendama |
E195936
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Tena
Tena is a municipality in the Tequendama Province of the Cundinamarca Department in central Colombia, known for its rural landscapes and proximity to Bogotá.
|
E728412
|
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: Tena | Statement: [Province of Tequendama, containsMunicipality, Tena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tena Context triple: [Province of Tequendama, containsMunicipality, Tena]
-
A.
Tena
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
-
B.
Uma
Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
-
C.
Uma
Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
-
D.
Uma
Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
-
E.
Panina
Panina is a primate clade within the human lineage that comprises the great apes most closely related to humans, particularly the chimpanzees and bonobos.
- 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: Tena Triple: [Province of Tequendama, containsMunicipality, Tena]
Generated description
Tena is a municipality in the Tequendama Province of the Cundinamarca Department in central Colombia, known for its rural landscapes and proximity to Bogotá.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tena Target entity description: Tena is a municipality in the Tequendama Province of the Cundinamarca Department in central Colombia, known for its rural landscapes and proximity to Bogotá.
-
A.
Tena
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
-
B.
Uma
Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
-
C.
Uma
Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
-
D.
Uma
Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
-
E.
Panina
Panina is a primate clade within the human lineage that comprises the great apes most closely related to humans, particularly the chimpanzees and bonobos.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe9efec81908e0c9ded3963bac5 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc72bc43c81909d95c7eb6aefc403 |
completed | April 2, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69cdcb90bec88190a2c19681405aa13e |
completed | April 2, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd0fc9488190a0a576c385b9bc1f |
completed | April 2, 2026, 1:57 a.m. |
Created at: March 30, 2026, 5:58 p.m.