Triple
T3754792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amánung Kapampángan |
E82019
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Pampangan |
E385601
|
NE FINISHED |
How this triple was built (2 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: Pampangan | Statement: [Amánung Kapampángan, hasAlternativeName, Pampangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampangan Context triple: [Amánung Kapampángan, hasAlternativeName, Pampangan]
-
A.
Pampangan
chosen
Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
-
B.
Llano Tugrí
Llano Tugrí is a small highland town in western Panama that serves as the administrative and cultural center of the indigenous Ngäbe-Buglé region.
-
C.
Susiana
Susiana was an ancient historical region in southwestern Iran, closely associated with the Elamite civilization and centered around the city of Susa.
-
D.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
E.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f02fb680819092ea86040b4b5bcf |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.