Triple
T16360824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paombong |
E397304
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
San Pedro (Poblacion)
San Pedro (Poblacion) is the central urban barangay and administrative core of the municipality of Paombong in Bulacan, Philippines.
|
E1208924
|
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 Pedro (Poblacion) | Statement: [Paombong, hasBarangay, San Pedro (Poblacion)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pedro (Poblacion) Context triple: [Paombong, hasBarangay, San Pedro (Poblacion)]
-
A.
San Pedrito
San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
-
B.
San Pedro del Norte
San Pedro del Norte is a municipality located in the Chinandega Department of northwestern Nicaragua.
-
C.
San Pedro Town
San Pedro Town is a popular coastal resort town on Ambergris Caye in Belize, known for its beaches, tourism, and access to the Belize Barrier Reef.
-
D.
San Pedro de las Colonias
San Pedro de las Colonias is a historic agricultural and cotton-producing city in the Mexican state of Coahuila, located in the Laguna Region.
-
E.
Poblacion
Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
- 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 Pedro (Poblacion) Triple: [Paombong, hasBarangay, San Pedro (Poblacion)]
Generated description
San Pedro (Poblacion) is the central urban barangay and administrative core of the municipality of Paombong in Bulacan, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Pedro (Poblacion) Target entity description: San Pedro (Poblacion) is the central urban barangay and administrative core of the municipality of Paombong in Bulacan, Philippines.
-
A.
San Pedrito
San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
-
B.
San Pedro del Norte
San Pedro del Norte is a municipality located in the Chinandega Department of northwestern Nicaragua.
-
C.
San Pedro Town
San Pedro Town is a popular coastal resort town on Ambergris Caye in Belize, known for its beaches, tourism, and access to the Belize Barrier Reef.
-
D.
San Pedro de las Colonias
San Pedro de las Colonias is a historic agricultural and cotton-producing city in the Mexican state of Coahuila, located in the Laguna Region.
-
E.
Poblacion
Poblacion is the central urban barangay and main town center of Baler in Aurora province, 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad304448190b3f6f0350a1e151d |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbce2508190b655de87f48e841e |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002f8278e48190a1eb1e11616f6cc5 |
completed | May 10, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002fe676688190b53cb938d7de78c0 |
completed | May 10, 2026, 7:12 a.m. |
Created at: April 10, 2026, 5:08 a.m.