Triple
T5572388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambayeque culture |
E146232
|
entity |
| Predicate | majorSite |
P2462
|
FINISHED |
| Object |
Túcume
Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
|
E551486
|
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: Túcume | Statement: [Lambayeque culture, majorSite, Túcume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Túcume Context triple: [Lambayeque culture, majorSite, Túcume]
-
A.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
B.
Cafayate
Cafayate is a renowned town in northwestern Argentina famous for its high-altitude vineyards, particularly Torrontés wine, and striking desert-and-mountain landscapes.
-
C.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
D.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
E.
Lomati
Lomati is a small village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
- 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: Túcume Triple: [Lambayeque culture, majorSite, Túcume]
Generated description
Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Túcume Target entity description: Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
-
A.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
B.
Cafayate
Cafayate is a renowned town in northwestern Argentina famous for its high-altitude vineyards, particularly Torrontés wine, and striking desert-and-mountain landscapes.
-
C.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
D.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
E.
Lomati
Lomati is a small village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020518f348190879ac67dab307134 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a139a20c819085f0f4b5105b3aef |
completed | March 23, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69c0a1faf7d48190ad2d5f43ef37da82 |
completed | March 23, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2e17cd88190a54f5166fe5c654a |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:37 p.m.