Triple
T2559239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Party of Labour of Albania |
E57202
|
entity |
| Predicate | membershipPeakApprox |
P4549
|
FINISHED |
| Object | over 120000 members |
—
|
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: over 120000 members | Statement: [Party of Labour of Albania, membershipPeakApprox, over 120000 members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipPeakApprox Context triple: [Party of Labour of Albania, membershipPeakApprox, over 120000 members]
-
A.
membershipPeak
Indicates the time or period at which an entity’s membership in a group or organization reaches its highest level.
-
B.
membershipPeakYear
Indicates the year in which an entity’s membership count reached its highest level.
-
C.
memberCountAtPeak
chosen
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
D.
totalMembershipApprox
Indicates an approximate total count of members associated with an entity.
-
E.
membershipTrend
Indicates how the size or composition of a group’s membership changes over time (e.g., growing, shrinking, or remaining stable).
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.