Triple
T800915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzon |
E17124
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object |
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
|
E101548
|
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: Ibanag | Statement: [Luzon, hasMajorLanguage, Ibanag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibanag Context triple: [Luzon, hasMajorLanguage, Ibanag]
-
A.
Kapampangan
Kapampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan ethnic group.
-
B.
Calabarzon
Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
-
C.
Binondo
Binondo is Manila’s historic Chinatown, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and Chinese-Filipino heritage.
-
D.
Rinconada Bikol
Rinconada Bikol is a major inland variety of the Bikol language spoken primarily in the Rinconada district of Camarines Sur in the Bicol Region of the Philippines.
-
E.
Ilonggo
Ilonggo is a major Austronesian language spoken primarily in Western Visayas and parts of Mindanao in the 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: Ibanag Triple: [Luzon, hasMajorLanguage, Ibanag]
Generated description
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ibanag Target entity description: Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
A.
Kapampangan
Kapampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan ethnic group.
-
B.
Calabarzon
Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
-
C.
Binondo
Binondo is Manila’s historic Chinatown, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and Chinese-Filipino heritage.
-
D.
Rinconada Bikol
Rinconada Bikol is a major inland variety of the Bikol language spoken primarily in the Rinconada district of Camarines Sur in the Bicol Region of the Philippines.
-
E.
Ilonggo
Ilonggo is a major Austronesian language spoken primarily in Western Visayas and parts of Mindanao in the 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cc75e88190bd35aabe51051b51 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3b1a81481908c831d1f43b9d014 |
completed | March 4, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69a7a5929de48190b01f45fbf19c72dc |
completed | March 4, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a63205308190b55b76116c0d5e7c |
completed | March 4, 2026, 3:25 a.m. |
Created at: March 1, 2026, 7:38 p.m.