Triple
T1802246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Baños, Laguna, Philippines |
E39746
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Bayog
Bayog is a barangay (village-level administrative division) of the municipality of Los Baños in the province of Laguna, Philippines.
|
E214089
|
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: Bayog | Statement: [Los Baños, Laguna, Philippines, hasBarangay, Bayog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayog Context triple: [Los Baños, Laguna, Philippines, hasBarangay, Bayog]
-
A.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
B.
Mahikan
Mahikan is an alternative name for the Mahican, a Native American people historically located in the Hudson River Valley of present-day New York.
-
C.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
D.
Namaka
Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
-
E.
Lunan Bay
Lunan Bay is a scenic sandy beach and coastal area on the east coast of Scotland, known for its dunes, historic ruins, and popular walking and surfing opportunities.
- 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: Bayog Triple: [Los Baños, Laguna, Philippines, hasBarangay, Bayog]
Generated description
Bayog is a barangay (village-level administrative division) of the municipality of Los Baños in the province of Laguna, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bayog Target entity description: Bayog is a barangay (village-level administrative division) of the municipality of Los Baños in the province of Laguna, Philippines.
-
A.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
B.
Mahikan
Mahikan is an alternative name for the Mahican, a Native American people historically located in the Hudson River Valley of present-day New York.
-
C.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
D.
Namaka
Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
-
E.
Lunan Bay
Lunan Bay is a scenic sandy beach and coastal area on the east coast of Scotland, known for its dunes, historic ruins, and popular walking and surfing opportunities.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffee0f88190aa7a42ef4a4e2bd2 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead0fb988190b403f5c62cbe991a |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb503ec88190b8d0cb17bbb8f520 |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adef13e030819086e9e8862198d859 |
completed | March 8, 2026, 9:50 p.m. |
Created at: March 4, 2026, 7:32 p.m.