Triple
T7188175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Palestinian legislative election |
E167621
|
entity |
| Predicate | numberOfSeatsWonByHamas |
P31127
|
FINISHED |
| Object | 74 |
—
|
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: 74 | Statement: [2006 Palestinian legislative election, numberOfSeatsWonByHamas, 74]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSeatsWonByHamas Context triple: [2006 Palestinian legislative election, numberOfSeatsWonByHamas, 74]
-
A.
numberOfSeatsWon
chosen
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
B.
numberOfMandates
Indicates the total count of mandates, terms, or official assignments associated with an entity in a given context.
-
C.
numberOfElectedMembers
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
D.
numberOfSeatsContested
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
-
E.
majoritySeats
Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e2506881909fc4e81b9b79e873 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.