Triple
T27067695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterrey |
E685220
|
entity |
| Predicate | mountainLandmark |
P20909
|
FINISHED |
| Object |
Cerro del Obispado
Cerro del Obispado is a prominent hill in Monterrey, Mexico, known for its historic bishop’s palace and panoramic views of the city.
|
E1764728
|
NE FINISHED |
How this triple was built (3 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 del Obispado | Statement: [Monterrey, mountainLandmark, Cerro del Obispado]
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 del Obispado Triple: [Monterrey, mountainLandmark, Cerro del Obispado]
Generated description
Cerro del Obispado is a prominent hill in Monterrey, Mexico, known for its historic bishop’s palace and panoramic views of the city.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainLandmark Context triple: [Monterrey, mountainLandmark, Cerro del Obispado]
-
A.
mountainFeature
Indicates that one entity is a notable physical or geographical feature associated with, located on, or forming part of a mountain.
-
B.
mountainName
Indicates that an entity is identified by a specific mountain’s name.
-
C.
borderMountainOf
Indicates that a mountain lies along or forms part of the border of a specified region or entity.
-
D.
notablePeak
chosen
Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
-
E.
endPointMountain
Indicates that a path, route, or boundary terminates at a mountain.
- F. None of above.
Provenance (6 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622ea4d9081909696af9f5078f2e9 |
completed | May 2, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a126256faa08190bd75cfa4f625f162 |
completed | May 24, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_6a126b3902e8819097ba5dccac464901 |
completed | May 24, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a126bae552081909819ca98031af9e1 |
completed | May 24, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 8:26 a.m.