Triple
T10268182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labuan federal constituency |
E240764
|
entity |
| Predicate | hasPollingDistricts |
P44883
|
FINISHED |
| Object | multiple polling districts in Labuan |
—
|
LITERAL 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: multiple polling districts in Labuan | Statement: [Labuan federal constituency, hasPollingDistricts, multiple polling districts in Labuan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPollingDistricts Context triple: [Labuan federal constituency, hasPollingDistricts, multiple polling districts in Labuan]
-
A.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
B.
hasCurrentDistrict
Indicates that an entity is currently located in, represented by, or associated with a specific administrative or electoral district.
-
C.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
D.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
E.
hasElectoralUnit
chosen
Indicates that a political or administrative entity is associated with a specific electoral unit used for voting or representation.
- F. None of above.
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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:34 a.m.