Triple
T13067987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilocos Sur |
E329377
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Emilio
San Emilio is a rural municipality in the province of Ilocos Sur in the Philippines, known for its mountainous terrain and predominantly agricultural communities.
|
E1020787
|
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 Emilio | Statement: [Ilocos Sur, hasMunicipality, San Emilio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Emilio Context triple: [Ilocos Sur, hasMunicipality, San Emilio]
-
A.
Italica
Italica was an ancient Roman city in Hispania (near modern Seville, Spain), notable as the birthplace of emperors Trajan and Hadrian.
-
B.
San Marcial
San Marcial is a hill near Irun in northern Spain, historically notable as the site of key battles during the Peninsular War.
-
C.
San Claudio
San Claudio is an archaeological site near Tenosique in the Mexican state of Tabasco, known for its pre-Hispanic Maya ruins.
-
D.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
E.
Arretium
Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
- 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 Emilio Triple: [Ilocos Sur, hasMunicipality, San Emilio]
Generated description
San Emilio is a rural municipality in the province of Ilocos Sur in the Philippines, known for its mountainous terrain and predominantly agricultural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Emilio Target entity description: San Emilio is a rural municipality in the province of Ilocos Sur in the Philippines, known for its mountainous terrain and predominantly agricultural communities.
-
A.
Italica
Italica was an ancient Roman city in Hispania (near modern Seville, Spain), notable as the birthplace of emperors Trajan and Hadrian.
-
B.
San Marcial
San Marcial is a hill near Irun in northern Spain, historically notable as the site of key battles during the Peninsular War.
-
C.
San Claudio
San Claudio is an archaeological site near Tenosique in the Mexican state of Tabasco, known for its pre-Hispanic Maya ruins.
-
D.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
E.
Arretium
Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 9, 2026, 9 p.m.