Triple
T1263836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago Metropolitan Region |
E12558
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lampa
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
|
E145225
|
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: Lampa | Statement: [Santiago Metropolitan Region, contains, Lampa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lampa Context triple: [Santiago Metropolitan Region, contains, Lampa]
-
A.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
B.
Astingi
The Astingi were an ancient Germanic tribe known from Roman-era sources for their involvement in conflicts along the empire’s northern frontiers.
-
C.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
D.
Lamlash
Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
-
E.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
- 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: Lampa Triple: [Santiago Metropolitan Region, contains, Lampa]
Generated description
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lampa Target entity description: Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
-
A.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
B.
Astingi
The Astingi were an ancient Germanic tribe known from Roman-era sources for their involvement in conflicts along the empire’s northern frontiers.
-
C.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
D.
Lamlash
Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
-
E.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc8d6908190a5b2cf1051cc6d5e |
completed | March 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9984c21c8190a1cec6c9d2df217a |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a6c81548190a1647ef797355d53 |
completed | March 7, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9ac980f48190a23da8b222ec7601 |
completed | March 7, 2026, 9:38 p.m. |
Created at: March 1, 2026, 7:50 p.m.