Triple
T4242267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Madre |
E95440
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Mount Cetaceo
Mount Cetaceo is the tallest peak in the Sierra Madre mountain range.
|
E430250
|
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: Mount Cetaceo | Statement: [Sierra Madre, highestPoint, Mount Cetaceo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Cetaceo Context triple: [Sierra Madre, highestPoint, Mount Cetaceo]
-
A.
Mount Desor
Mount Desor is the tallest peak on Isle Royale in Lake Superior, known for its forested summit and hiking trails within Isle Royale National Park.
-
B.
Mount Pateras
Mount Pateras is a prominent mountain in western Attica, Greece, known for its forested slopes and views over the Gulf of Corinth and surrounding lowlands.
-
C.
Mount Isola
Mount Isola is a ski mountain in the Rusutsu resort area of Hokkaido, Japan, known for its varied terrain and powder snow.
-
D.
Mount Isto
Mount Isto is a prominent peak in Alaska's remote Arctic region, notable for being the tallest mountain in the Brooks Range.
-
E.
Cerro Otto
Cerro Otto is a scenic mountain in Argentina’s Patagonia region, popular for its panoramic views over Bariloche and its accessible hiking and cable car routes.
- 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: Mount Cetaceo Triple: [Sierra Madre, highestPoint, Mount Cetaceo]
Generated description
Mount Cetaceo is the tallest peak in the Sierra Madre mountain range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Cetaceo Target entity description: Mount Cetaceo is the tallest peak in the Sierra Madre mountain range.
-
A.
Mount Desor
Mount Desor is the tallest peak on Isle Royale in Lake Superior, known for its forested summit and hiking trails within Isle Royale National Park.
-
B.
Mount Pateras
Mount Pateras is a prominent mountain in western Attica, Greece, known for its forested slopes and views over the Gulf of Corinth and surrounding lowlands.
-
C.
Mount Isola
Mount Isola is a ski mountain in the Rusutsu resort area of Hokkaido, Japan, known for its varied terrain and powder snow.
-
D.
Mount Isto
Mount Isto is a prominent peak in Alaska's remote Arctic region, notable for being the tallest mountain in the Brooks Range.
-
E.
Cerro Otto
Cerro Otto is a scenic mountain in Argentina’s Patagonia region, popular for its panoramic views over Bariloche and its accessible hiking and cable car routes.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e891bc08190831187da4f553f48 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d05f55f48190b671830e173ef2ba |
completed | March 14, 2026, 9:17 p.m. |
| NEDg | Description generation | batch_69b5d0e2a6948190999ce89edfd3922c |
completed | March 14, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d11b84ac8190a19015567d4c135a |
completed | March 14, 2026, 9:20 p.m. |
Created at: March 12, 2026, 11:05 p.m.