Triple
T5063920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Island |
E114095
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Jerez Peak
Jerez Peak is the highest mountain on Clarence Island in the South Shetland Islands of Antarctica.
|
E514513
|
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: Jerez Peak | Statement: [Clarence Island, hasHighestPoint, Jerez Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerez Peak Context triple: [Clarence Island, hasHighestPoint, Jerez Peak]
-
A.
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.
-
B.
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.
-
C.
Pico Almanzor
Pico Almanzor is the highest and most prominent peak in Spain’s Sierra de Gredos range, renowned for its rugged granite slopes and alpine climbing routes.
-
D.
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.
-
E.
Monte Toro
Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
- 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: Jerez Peak Triple: [Clarence Island, hasHighestPoint, Jerez Peak]
Generated description
Jerez Peak is the highest mountain on Clarence Island in the South Shetland Islands of Antarctica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerez Peak Target entity description: Jerez Peak is the highest mountain on Clarence Island in the South Shetland Islands of Antarctica.
-
A.
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.
-
B.
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.
-
C.
Pico Almanzor
Pico Almanzor is the highest and most prominent peak in Spain’s Sierra de Gredos range, renowned for its rugged granite slopes and alpine climbing routes.
-
D.
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.
-
E.
Monte Toro
Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219fbf6c8190b84f866274817b9f |
completed | March 21, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69bf23f067e081908acff517cae47719 |
completed | March 21, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf24b397c48190b19f73d3ea634257 |
completed | March 21, 2026, 11:07 p.m. |
Created at: March 20, 2026, 1:38 p.m.