Triple
T16396968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Felipe, Zambales |
E398207
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Farañal
Farañal is a barangay (village-level administrative division) in the municipality of San Felipe in the province of Zambales, Philippines.
|
E1211602
|
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: Farañal | Statement: [San Felipe, Zambales, hasBarangay, Farañal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farañal Context triple: [San Felipe, Zambales, hasBarangay, Farañal]
-
A.
Lizarra
Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
-
B.
Matalascañas
Matalascañas is a popular seaside resort town in southern Spain known for its long sandy beaches and proximity to Doñana National Park.
-
C.
Barduelva
Barduelva is a river in northern Norway flowing through Troms og Finnmark county, including the town of Setermoen.
-
D.
Duesaigües
Duesaigües is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its scenic mountainous surroundings and rural character.
-
E.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
- 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: Farañal Triple: [San Felipe, Zambales, hasBarangay, Farañal]
Generated description
Farañal is a barangay (village-level administrative division) in the municipality of San Felipe in the province of Zambales, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farañal Target entity description: Farañal is a barangay (village-level administrative division) in the municipality of San Felipe in the province of Zambales, Philippines.
-
A.
Lizarra
Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
-
B.
Matalascañas
Matalascañas is a popular seaside resort town in southern Spain known for its long sandy beaches and proximity to Doñana National Park.
-
C.
Barduelva
Barduelva is a river in northern Norway flowing through Troms og Finnmark county, including the town of Setermoen.
-
D.
Duesaigües
Duesaigües is a small municipality in the Baix Camp comarca of Catalonia, Spain, known for its scenic mountainous surroundings and rural character.
-
E.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cb3c708190b64341cb1410ed81 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c5bcc7c81909dc1d3a9a1b7f50a |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dd7e9d481908822da391112eb39 |
completed | May 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb6aa748190b0c8866af405794a |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.