Triple
T15901524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapampangan people |
E385600
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
tibok-tibok
Tibok-tibok is a traditional Kapampangan Filipino milk pudding dessert, typically made from carabao’s milk and thickened with rice flour.
|
E1183013
|
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: tibok-tibok | Statement: [Kapampangan people, knownFor, tibok-tibok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tibok-tibok Context triple: [Kapampangan people, knownFor, tibok-tibok]
-
A.
Tilba Tilba
Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
-
B.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
C.
Itawit-Tawit
Itawit-Tawit is an Austronesian language spoken by the Itawit people of northern Luzon in the Philippines.
-
D.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
E.
Tikari
Tikari is a town in the Indian state of Bihar, known historically as a local administrative and cultural center in the Gaya region.
- 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: tibok-tibok Triple: [Kapampangan people, knownFor, tibok-tibok]
Generated description
Tibok-tibok is a traditional Kapampangan Filipino milk pudding dessert, typically made from carabao’s milk and thickened with rice flour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tibok-tibok Target entity description: Tibok-tibok is a traditional Kapampangan Filipino milk pudding dessert, typically made from carabao’s milk and thickened with rice flour.
-
A.
Tilba Tilba
Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
-
B.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
C.
Itawit-Tawit
Itawit-Tawit is an Austronesian language spoken by the Itawit people of northern Luzon in the Philippines.
-
D.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
E.
Tikari
Tikari is a town in the Indian state of Bihar, known historically as a local administrative and cultural center in the Gaya region.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563db01081908dd94a2536ef2107 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04f3ea08190b5581768770677e8 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb13fdb6c819091c3ee5c1f199031 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb208aef881909b3a00e0015c27df |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:52 a.m.