Triple
T15458116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eje Cafetero |
E371825
|
entity |
| Predicate | tourismAttraction |
P530
|
FINISHED |
| Object |
Panaca
Panaca is a large agricultural theme park in Colombia’s Eje Cafetero region, known for interactive farm experiences and close contact with domestic animals.
|
E1157338
|
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: Panaca | Statement: [Eje Cafetero, tourismAttraction, Panaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panaca Context triple: [Eje Cafetero, tourismAttraction, Panaca]
-
A.
Panaca
Panaca is a small, historically Mormon-founded rural community in southeastern Nevada known as one of the state’s oldest permanent settlements.
-
B.
Picaroon
Picaroon is an alternate name for Jean-Luc Picard, the iconic starship captain from the Star Trek franchise.
-
C.
Akapana
Akapana is a monumental terraced pyramid and ceremonial complex at the ancient city of Tiwanaku, serving as one of the most important religious and political centers of the Middle Horizon Andes.
-
D.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
E.
Pedaso
Pedaso is a small coastal town and comune on the Adriatic Sea in Italy’s Marche region, known for its beaches and seaside tourism.
- 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: Panaca Triple: [Eje Cafetero, tourismAttraction, Panaca]
Generated description
Panaca is a large agricultural theme park in Colombia’s Eje Cafetero region, known for interactive farm experiences and close contact with domestic animals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panaca Target entity description: Panaca is a large agricultural theme park in Colombia’s Eje Cafetero region, known for interactive farm experiences and close contact with domestic animals.
-
A.
Panaca
Panaca is a small, historically Mormon-founded rural community in southeastern Nevada known as one of the state’s oldest permanent settlements.
-
B.
Picaroon
Picaroon is an alternate name for Jean-Luc Picard, the iconic starship captain from the Star Trek franchise.
-
C.
Akapana
Akapana is a monumental terraced pyramid and ceremonial complex at the ancient city of Tiwanaku, serving as one of the most important religious and political centers of the Middle Horizon Andes.
-
D.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
E.
Pedaso
Pedaso is a small coastal town and comune on the Adriatic Sea in Italy’s Marche region, known for its beaches and seaside tourism.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b7b600819081a6087bd6309237 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff225ba3bc8190b57da931ffa240fe |
completed | May 9, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2339ae808190bf2d4676215399c0 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 10, 2026, 3:32 a.m.