Triple
T9651771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro del Cubilete |
E233351
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Silao
Silao is a city in the Mexican state of Guanajuato known as an industrial and transportation hub in the Bajío region.
|
E811920
|
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: Silao | Statement: [Cerro del Cubilete, locatedNear, Silao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silao Context triple: [Cerro del Cubilete, locatedNear, Silao]
-
A.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
B.
Cabiao
Cabiao is a municipality in the province of Nueva Ecija in the Philippines, known for its agricultural economy and rural communities.
-
C.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
D.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
E.
Carmona
Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
- 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: Silao Triple: [Cerro del Cubilete, locatedNear, Silao]
Generated description
Silao is a city in the Mexican state of Guanajuato known as an industrial and transportation hub in the Bajío region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silao Target entity description: Silao is a city in the Mexican state of Guanajuato known as an industrial and transportation hub in the Bajío region.
-
A.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
B.
Cabiao
Cabiao is a municipality in the province of Nueva Ecija in the Philippines, known for its agricultural economy and rural communities.
-
C.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
D.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
E.
Carmona
Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1826c91388190b82112c2ca1eae7e |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d1836d683081908bccf970e4b0980b |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18412c4a08190bce431235e1102fc |
completed | April 4, 2026, 9:35 p.m. |
Created at: March 30, 2026, 8:13 p.m.