Triple
T5165589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitol L-244 |
E116543
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Zaña
Zaña is a historic town and archaeological site in northern Peru known for its colonial-era ruins and cultural heritage.
|
E500367
|
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: Zaña | Statement: [Capitol L-244, hasPart, Zaña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaña Context triple: [Capitol L-244, hasPart, Zaña]
-
A.
Neira
Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
-
B.
Hunza
Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
-
C.
Hunza
Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
-
D.
Zimeysa
Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
-
E.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
- 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: Zaña Triple: [Capitol L-244, hasPart, Zaña]
Generated description
Zaña is a historic town and archaeological site in northern Peru known for its colonial-era ruins and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaña Target entity description: Zaña is a historic town and archaeological site in northern Peru known for its colonial-era ruins and cultural heritage.
-
A.
Neira
Neira is a Colombian town and municipality located in the Caldas Department in the Andean region of the country.
-
B.
Hunza
Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
-
C.
Hunza
Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
-
D.
Zimeysa
Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
-
E.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792af4648190934cf2db523f6921 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed937bd8c81909569f7205044aa5a |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69bedc0576208190821ff04a759709ce |
completed | March 21, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedc7f1f848190a845d3aed45ce6c1 |
completed | March 21, 2026, 5:59 p.m. |
Created at: March 20, 2026, 1:44 p.m.