Triple
T7580001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karay-a language |
E179460
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Iloilo Karay-a
Iloilo Karay-a is a regional variety of the Karay-a language spoken primarily in the province of Iloilo in the Philippines.
|
E675070
|
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: Iloilo Karay-a | Statement: [Karay-a language, hasDialect, Iloilo Karay-a]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iloilo Karay-a Context triple: [Karay-a language, hasDialect, Iloilo Karay-a]
-
A.
Ayta of Sorsogon
Ayta of Sorsogon is an indigenous Philippine language spoken by the Ayta people in the province of Sorsogon in the Bicol region.
-
B.
Pulilan
Pulilan is a municipality in the province of Bulacan in the Philippines, known for its agricultural economy and the annual Kneeling Carabao Festival honoring San Isidro Labrador.
-
C.
Legazpi
Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
-
D.
Legazpi
Legazpi is a coastal city in the Bicol Region of the Philippines known as a regional center and gateway to the iconic Mayon Volcano.
-
E.
Batong Malake
Batong Malake is a barangay in Los Baños, Laguna, Philippines, known for hosting the University of the Philippines Los Baños and its surrounding student community.
- 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: Iloilo Karay-a Triple: [Karay-a language, hasDialect, Iloilo Karay-a]
Generated description
Iloilo Karay-a is a regional variety of the Karay-a language spoken primarily in the province of Iloilo in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iloilo Karay-a Target entity description: Iloilo Karay-a is a regional variety of the Karay-a language spoken primarily in the province of Iloilo in the Philippines.
-
A.
Ayta of Sorsogon
Ayta of Sorsogon is an indigenous Philippine language spoken by the Ayta people in the province of Sorsogon in the Bicol region.
-
B.
Pulilan
Pulilan is a municipality in the province of Bulacan in the Philippines, known for its agricultural economy and the annual Kneeling Carabao Festival honoring San Isidro Labrador.
-
C.
Legazpi
Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
-
D.
Legazpi
Legazpi is a coastal city in the Bicol Region of the Philippines known as a regional center and gateway to the iconic Mayon Volcano.
-
E.
Batong Malake
Batong Malake is a barangay in Los Baños, Laguna, Philippines, known for hosting the University of the Philippines Los Baños and its surrounding student community.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f975bbc08190aec30f902eaea494 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861735c7c81908e2c9fcbb1005ec3 |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c862677e008190928ac5b4a47906fc |
completed | March 28, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8630fe8608190afc7b67d9a80240b |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:52 p.m.