Triple
T12511049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arraiján District |
E299078
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Arraiján |
E967994
|
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: Arraiján | Statement: [Arraiján District, capital, Arraiján]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arraiján Context triple: [Arraiján District, capital, Arraiján]
-
A.
Arraiján
chosen
Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Zuera
Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
-
D.
Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
-
E.
Anfalas
Anfalas is a coastal region in the realm of Gondor in J.R.R. Tolkien’s Middle-earth, known for its long shoreline and scattered fishing and farming communities.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557243788190854208113600324e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.