Triple
T15058384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gampaha District |
E379556
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ja-Ela |
E549038
|
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: Ja-Ela | Statement: [Gampaha District, contains, Ja-Ela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ja-Ela Context triple: [Gampaha District, contains, Ja-Ela]
-
A.
Ja-Ela
chosen
Ja-Ela is a suburban town in Sri Lanka’s Western Province, situated along the main road between Colombo and Negombo and known as a growing residential and commercial area.
-
B.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
C.
Jae
Jae is a professional basketball player best known for his versatile forward play and defensive toughness in the NBA.
-
D.
Azal
Azal is a powerful, ancient alien being from the Doctor Who serial "The Daemons," depicted as a towering, horned creature whose advanced technology is mistaken for magic.
-
E.
Azal
Azal is a white grape variety from Portugal, best known for producing light, crisp wines in the Vinho Verde region.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.