Triple
T20025542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Miguel
San Miguel is a rural municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
|
E1407523
|
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: San Miguel | Statement: [Province of Leyte, hasMunicipality, San Miguel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Miguel Context triple: [Province of Leyte, hasMunicipality, San Miguel]
-
A.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
-
B.
San Miguel
San Miguel is a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
-
C.
San Miguel
San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
-
D.
San Miguel
San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, located in the northwest of Buenos Aires Province.
-
E.
San Miguel
San Miguel is one of the poems included in Federico García Lorca’s celebrated collection *Romancero gitano* (Gypsy Ballads), blending folkloric imagery with lyrical exploration of Andalusian culture.
- 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: San Miguel Triple: [Province of Leyte, hasMunicipality, San Miguel]
Generated description
San Miguel is a rural municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Miguel Target entity description: San Miguel is a rural municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
-
A.
San Miguel
San Miguel is a rural municipality located on the island province of Catanduanes in the Bicol Region of the Philippines.
-
B.
San Miguel
San Miguel is a rural municipality in the province of Surigao del Sur in the Caraga region of Mindanao, Philippines.
-
C.
San Miguel
San Miguel is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and rural communities.
-
D.
San Miguel
San Miguel is a barangay (local administrative district) within the highly urbanized city of Taguig in Metro Manila, Philippines.
-
E.
San Miguel
San Miguel is a barangay (village-level administrative division) within the municipality of San Felipe in the province of Zambales, Philippines.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e2f549c8190b04f8470fbb63a0c |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:35 p.m.