Triple
T17790654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volcán Tolimán |
E444149
|
entity |
| Predicate | hasSecondaryPeak |
P48061
|
FINISHED |
| Object |
Cerro de Oro
Cerro de Oro is a smaller volcanic peak in Guatemala that forms part of the Tolimán volcanic complex near Lake Atitlán.
|
E1288633
|
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 de Oro | Statement: [Volcán Tolimán, hasSecondaryPeak, Cerro de Oro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerro de Oro Context triple: [Volcán Tolimán, hasSecondaryPeak, Cerro de Oro]
-
A.
Monte de las Mercedes
Monte de las Mercedes is a lush, misty laurel forest area in Tenerife’s Anaga massif, known for its scenic hiking trails and ancient subtropical woodland.
-
B.
Monte Rey
Monte Rey is an otter character known by the shortened name "Monte Rey."
-
C.
Cerro de las Campanas
Cerro de las Campanas is a historic hill in Querétaro, Mexico, best known as the site where Emperor Maximilian I of Mexico was executed in 1867, marking the end of the Second Mexican Empire.
-
D.
Cerro de Punta
Cerro de Punta is the highest peak in Puerto Rico, located in the Cordillera Central mountain range.
-
E.
Monte Francés
Monte Francés is a mountain that forms the highest peak on Isla Hoste in the remote southern region of Chilean Patagonia.
- 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 de Oro Triple: [Volcán Tolimán, hasSecondaryPeak, Cerro de Oro]
Generated description
Cerro de Oro is a smaller volcanic peak in Guatemala that forms part of the Tolimán volcanic complex near Lake Atitlán.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerro de Oro Target entity description: Cerro de Oro is a smaller volcanic peak in Guatemala that forms part of the Tolimán volcanic complex near Lake Atitlán.
-
A.
Monte de las Mercedes
Monte de las Mercedes is a lush, misty laurel forest area in Tenerife’s Anaga massif, known for its scenic hiking trails and ancient subtropical woodland.
-
B.
Monte Rey
Monte Rey is an otter character known by the shortened name "Monte Rey."
-
C.
Cerro de las Campanas
Cerro de las Campanas is a historic hill in Querétaro, Mexico, best known as the site where Emperor Maximilian I of Mexico was executed in 1867, marking the end of the Second Mexican Empire.
-
D.
Cerro de Punta
Cerro de Punta is the highest peak in Puerto Rico, located in the Cordillera Central mountain range.
-
E.
Monte Francés
Monte Francés is a mountain that forms the highest peak on Isla Hoste in the remote southern region of Chilean Patagonia.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f83854388190bfa27b6adbf2b364 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f9e9f38c81908de58994c086b52f |
completed | May 12, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fadc5d4481908f7e7139a83c02bc |
completed | May 12, 2026, 10:03 a.m. |
Created at: April 10, 2026, 10:13 a.m.