Triple
T15490051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool Department |
E378657
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Kinkala |
E1160826
|
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: Kinkala | Statement: [Pool Department, largestCity, Kinkala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinkala Context triple: [Pool Department, largestCity, Kinkala]
-
A.
Kinkala
chosen
Kinkala is a town in the Republic of the Congo that serves as an administrative and economic center for the surrounding region.
-
B.
Chakala
Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
-
C.
Kala
Kala is the critically acclaimed 2007 studio album by British-Sri Lankan artist M.I.A., known for its eclectic global influences and politically charged themes.
-
D.
Kala
Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
-
E.
Kwaluudhi
Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4661088190bb53161247effcc4 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:48 a.m.