Triple
T1802247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Baños, Laguna, Philippines |
E39746
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
|
E203157
|
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: Lalakay | Statement: [Los Baños, Laguna, Philippines, hasBarangay, Lalakay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalakay Context triple: [Los Baños, Laguna, Philippines, hasBarangay, Lalakay]
-
A.
Batabanó
Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
-
B.
Kassaman
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Ilonggo
Ilonggo is a major Austronesian language spoken primarily in Western Visayas and parts of Mindanao in the Philippines.
-
E.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
- 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: Lalakay Triple: [Los Baños, Laguna, Philippines, hasBarangay, Lalakay]
Generated description
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lalakay Target entity description: Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
A.
Batabanó
Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
-
B.
Kassaman
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Ilonggo
Ilonggo is a major Austronesian language spoken primarily in Western Visayas and parts of Mindanao in the Philippines.
-
E.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
- 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_69adbf5645808190a774d96cfe5c5e58 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adbff135188190908058a2e2d41a1e |
completed | March 8, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc0832cd881909702f380412702d5 |
completed | March 8, 2026, 6:31 p.m. |
Created at: March 4, 2026, 7:32 p.m.