Triple
T899616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Santa Lucía |
E19417
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
Cerro Huelén
Cerro Huelén is the historic hill in central Santiago, Chile, now known as Cerro Santa Lucía, notable as a key colonial landmark and urban park.
|
E109290
|
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: Cerro Huelén | Statement: [Cerro Santa Lucía, hasFormerName, Cerro Huelén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerro Huelén Context triple: [Cerro Santa Lucía, hasFormerName, Cerro Huelén]
-
A.
Pico del Águila
Pico del Águila is a prominent mountain peak and popular hiking destination located within the borough of Tlalpan in southern Mexico City.
-
B.
Cerro de la Silla
Cerro de la Silla is a distinctive saddle-shaped mountain and iconic natural symbol overlooking the city of Monterrey in northeastern Mexico.
-
C.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
-
D.
Cerro San Rafael
Cerro San Rafael is a prominent mountain peak in northeastern Mexico, notable for being the highest summit in the Sierra Madre Oriental range.
-
E.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
- 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: Cerro Huelén Triple: [Cerro Santa Lucía, hasFormerName, Cerro Huelén]
Generated description
Cerro Huelén is the historic hill in central Santiago, Chile, now known as Cerro Santa Lucía, notable as a key colonial landmark and urban park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerro Huelén Target entity description: Cerro Huelén is the historic hill in central Santiago, Chile, now known as Cerro Santa Lucía, notable as a key colonial landmark and urban park.
-
A.
Pico del Águila
Pico del Águila is a prominent mountain peak and popular hiking destination located within the borough of Tlalpan in southern Mexico City.
-
B.
Cerro de la Silla
Cerro de la Silla is a distinctive saddle-shaped mountain and iconic natural symbol overlooking the city of Monterrey in northeastern Mexico.
-
C.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
-
D.
Cerro San Rafael
Cerro San Rafael is a prominent mountain peak in northeastern Mexico, notable for being the highest summit in the Sierra Madre Oriental range.
-
E.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4162848190aa2787b2fa3e6575 |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee02a21c819088e6a137ea306efd |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7eebc724c8190a364782ec8e672e0 |
completed | March 4, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ef2ed2c881909dc1d2d6fb39805a |
completed | March 4, 2026, 8:37 a.m. |
Created at: March 1, 2026, 7:39 p.m.