Triple
T4335107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera Central |
E97443
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Mount Ugo
Mount Ugo is a prominent mountain in the Cordillera region of northern Luzon in the Philippines, popular among hikers for its scenic trails and highland views.
|
E430670
|
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 Ugo | Statement: [Cordillera Central, hasPeak, Mount Ugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Ugo Context triple: [Cordillera Central, hasPeak, Mount Ugo]
-
A.
Mount Fumaiolo
Mount Fumaiolo is an Apennine mountain in northern Italy known primarily as the birthplace of the Tiber River.
-
B.
Mount Balbi
Mount Balbi is an active stratovolcano and the highest peak on Bougainville Island in Papua New Guinea.
-
C.
Mount Giona
Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
-
D.
Monte Spada
Monte Spada is a mountain peak in the Gennargentu massif of central Sardinia, Italy, known for its rugged terrain and natural landscapes.
-
E.
Monte Faloria
Monte Faloria is a mountain in the Dolomites near Cortina d'Ampezzo, Italy, known as a ski area that hosted alpine skiing events during the 1956 Winter Olympics.
- 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 Ugo Triple: [Cordillera Central, hasPeak, Mount Ugo]
Generated description
Mount Ugo is a prominent mountain in the Cordillera region of northern Luzon in the Philippines, popular among hikers for its scenic trails and highland views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Ugo Target entity description: Mount Ugo is a prominent mountain in the Cordillera region of northern Luzon in the Philippines, popular among hikers for its scenic trails and highland views.
-
A.
Mount Fumaiolo
Mount Fumaiolo is an Apennine mountain in northern Italy known primarily as the birthplace of the Tiber River.
-
B.
Mount Balbi
Mount Balbi is an active stratovolcano and the highest peak on Bougainville Island in Papua New Guinea.
-
C.
Mount Giona
Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
-
D.
Monte Spada
Monte Spada is a mountain peak in the Gennargentu massif of central Sardinia, Italy, known for its rugged terrain and natural landscapes.
-
E.
Monte Faloria
Monte Faloria is a mountain in the Dolomites near Cortina d'Ampezzo, Italy, known as a ski area that hosted alpine skiing events during the 1956 Winter Olympics.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a9967481908828ceeb76ce4cbf |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d14748108190a6f5d4aebaa83ed6 |
completed | March 14, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d1b610888190bccace493224c373 |
completed | March 14, 2026, 9:23 p.m. |
Created at: March 12, 2026, 11:14 p.m.