Triple
T7815267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Parliament of East Timor |
E180988
|
entity |
| Predicate | minimumSeats |
P9344
|
FINISHED |
| Object | 52 |
—
|
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: 52 | Statement: [National Parliament of East Timor, minimumSeats, 52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumSeats Context triple: [National Parliament of East Timor, minimumSeats, 52]
-
A.
minimumSeatsPerState
Indicates the smallest number of seats that must be allocated to each state in a representative body or legislative apportionment.
-
B.
typicalSeatingCapacityLowerBound
Indicates the minimum number of seats that an entity is typically designed or expected to provide.
-
C.
seatingCapacity
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
-
D.
minimumNumberOfMembers
chosen
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
E.
minimumSeatsPerCanton
Indicates the minimum number of seats that must be allocated to each canton in a representative body or distribution scheme.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:39 p.m.