Triple
T9179236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perlis Indera Kayangan |
E220277
|
entity |
| Predicate | royalCapital |
P234
|
FINISHED |
| Object | Arau |
E220279
|
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: Arau | Statement: [Perlis Indera Kayangan, royalCapital, Arau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arau Context triple: [Perlis Indera Kayangan, royalCapital, Arau]
-
A.
Arau
chosen
Arau is a small Malaysian town that serves as the royal seat of the state of Perlis and is known for its palace and role in state ceremonies.
-
B.
Arau
Arau is the surname of Mexican filmmaker and actor Alfonso Arau, known for works such as "Like Water for Chocolate."
-
C.
Heredia
Heredia is a historic city in Costa Rica known for its colonial architecture, vibrant university life, and location in the country’s Central Valley.
-
D.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
E.
Apure State
Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25064588190856c96b229d9cd60 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054ae9a708190b26c2f2c7ebb59c9 |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:23 p.m.