Triple
T11741160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumalag |
E279156
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Astorga
Astorga is a rural barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
|
E979499
|
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: Astorga | Statement: [Dumalag, hasBarangay, Astorga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astorga Context triple: [Dumalag, hasBarangay, Astorga]
-
A.
Astorga
Astorga is a historic city in the province of León, Spain, known for its Roman heritage, medieval cathedral, and a Modernist Episcopal Palace designed by Antoni Gaudí.
-
B.
Alcalá-Zamora
Alcalá-Zamora is the surname of Niceto Alcalá-Zamora, a prominent Spanish lawyer and politician who served as the first President of the Second Spanish Republic.
-
C.
Badajoz
Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
-
D.
Burgos
Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
-
E.
Burgos
Burgos is a small coastal municipality on the northern tip of Siargao Island in the Philippines, known for its quiet beaches and surf spots.
- 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: Astorga Triple: [Dumalag, hasBarangay, Astorga]
Generated description
Astorga is a rural barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Astorga Target entity description: Astorga is a rural barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
A.
Astorga
Astorga is a historic city in the province of León, Spain, known for its Roman heritage, medieval cathedral, and a Modernist Episcopal Palace designed by Antoni Gaudí.
-
B.
Alcalá-Zamora
Alcalá-Zamora is the surname of Niceto Alcalá-Zamora, a prominent Spanish lawyer and politician who served as the first President of the Second Spanish Republic.
-
C.
Badajoz
Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
-
D.
Burgos
Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
-
E.
Burgos
Burgos is a small coastal municipality on the northern tip of Siargao Island in the Philippines, known for its quiet beaches and surf spots.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f025f88190a39280806c9d7c33 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a7307a8819095205ce5aa3e7abc |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62e7fc5488190a00dbc8c48db6330 |
completed | May 2, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62ef4da588190bfe5e418b8f8bf6f |
completed | May 2, 2026, 5:05 p.m. |
Created at: April 8, 2026, 9:41 p.m.